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| INFO:devatlas_space_app:DevAtlas AI API mounted; Gradio UI attached at / (GPU test: /gradio_api/call/test_gpu, Qwen image edit: /gradio_api/call/qwen_image_edit) | |
| INFO: Started server process [36056] | |
| INFO: Waiting for application startup. | |
| INFO:app.main:API service key configured: True | |
| INFO:app.services.job_store:media job store ready at E:\DevAtlas\python-ai\storage\jobs\media_jobs.db | |
| INFO:app.services.job_retry:media job watchdog started (timeout=600.0s max_retries=2 interval=15.0s) | |
| INFO: Application startup complete. | |
| INFO: Uvicorn running on http://0.0.0.0:7860 (Press CTRL+C to quit) | |
| INFO:httpx2:HTTP Request: HEAD https://huggingface.co/api/telemetry/https%3A/api.gradio.app/gradio-initiated-analytics "HTTP/1.1 200 OK" | |
| INFO:httpx:HTTP Request: GET https://api.gradio.app/pkg-version "HTTP/1.1 200 OK" | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.005s job=image-c2429c47edaa source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-c2429c47edaa | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-c2429c47edaa cached=True | |
| ERROR:app.services.media_jobs:Media job image-c2429c47edaa failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.214s job=image-c2429c47edaa | |
| INFO:app.services.providers.video_provider:LocalDiffusionVideoProvider: prompt="Animate sara. Requested direction: sara looks directly into duration=5.0 | |
| ERROR:app.services.media_jobs:Media job video-ad2d82c2163e failed: local I2V model snapshot at 'E:\\DevAtlas\\python-ai\\models\\ltx-video' is incomplete; missing: text_encoder/model-00003-of-00004.safetensors, text_encoder/model-00004-of-00004.safetensors. Re-run `python scripts/fetch_i2v_model.py` to finish the download. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 747, in _run | |
| return await self._build_video_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 444, in _build_video_task | |
| res_path = await self._video.generate_video( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\video_provider.py", line 107, in generate_video | |
| return video_backend._generate_diffusion( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\video_backend.py", line 944, in _generate_diffusion | |
| _require_model_snapshot(model_dir) | |
| File "E:\DevAtlas\python-ai\app\services\video_backend.py", line 920, in _require_model_snapshot | |
| raise RuntimeError( | |
| RuntimeError: local I2V model snapshot at 'E:\\DevAtlas\\python-ai\\models\\ltx-video' is incomplete; missing: text_encoder/model-00003-of-00004.safetensors, text_encoder/model-00004-of-00004.safetensors. Re-run `python scripts/fetch_i2v_model.py` to finish the download. | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-bf52d1a63617 source=url cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-bf52d1a63617 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-bf52d1a63617 cached=True | |
| ERROR:app.services.media_jobs:Media job image-bf52d1a63617 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 568, in _run_img | |
| return await self._build_image_task(image_params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.109s job=image-bf52d1a63617 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-568c0eb3b953 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-568c0eb3b953 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-568c0eb3b953 cached=True | |
| ERROR:app.services.media_jobs:Media job image-568c0eb3b953 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.015s job=image-568c0eb3b953 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-d554c5838769 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-d554c5838769 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-d554c5838769 cached=True | |
| ERROR:app.services.media_jobs:Media job image-d554c5838769 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.069s job=image-d554c5838769 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-672382bdab5c source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-672382bdab5c | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-672382bdab5c cached=True | |
| ERROR:app.services.media_jobs:Media job image-672382bdab5c failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.016s job=image-672382bdab5c | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-63bd50bc67a4 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-63bd50bc67a4 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-63bd50bc67a4 cached=True | |
| ERROR:app.services.media_jobs:Media job image-63bd50bc67a4 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.012s job=image-63bd50bc67a4 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-c056ccabaca9 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.002s job=image-c056ccabaca9 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-c056ccabaca9 cached=True | |
| ERROR:app.services.media_jobs:Media job image-c056ccabaca9 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.013s job=image-c056ccabaca9 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-738897f38cd1 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-738897f38cd1 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-738897f38cd1 cached=True | |
| ERROR:app.services.media_jobs:Media job image-738897f38cd1 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.012s job=image-738897f38cd1 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-10688f03fd62 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-10688f03fd62 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-10688f03fd62 cached=True | |
| ERROR:app.services.media_jobs:Media job image-10688f03fd62 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.015s job=image-10688f03fd62 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-3c06bc1b1ffe source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-3c06bc1b1ffe | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-3c06bc1b1ffe cached=True | |
| ERROR:app.services.media_jobs:Media job image-3c06bc1b1ffe failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.019s job=image-3c06bc1b1ffe | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.002s job=image-8df884a7752a source=url cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-8df884a7752a | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-8df884a7752a cached=True | |
| ERROR:app.services.media_jobs:Media job image-8df884a7752a failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 568, in _run_img | |
| return await self._build_image_task(image_params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.102s job=image-8df884a7752a | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-5d669fd5fb95 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-5d669fd5fb95 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-5d669fd5fb95 cached=True | |
| ERROR:app.services.media_jobs:Media job image-5d669fd5fb95 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.012s job=image-5d669fd5fb95 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-12ff2f9bbfc4 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-12ff2f9bbfc4 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-12ff2f9bbfc4 cached=True | |
| ERROR:app.services.media_jobs:Media job image-12ff2f9bbfc4 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.015s job=image-12ff2f9bbfc4 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-b1c614a20850 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-b1c614a20850 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-b1c614a20850 cached=True | |
| ERROR:app.services.media_jobs:Media job image-b1c614a20850 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.056s job=image-b1c614a20850 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-be038856fb0b source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-be038856fb0b | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-be038856fb0b cached=True | |
| ERROR:app.services.media_jobs:Media job image-be038856fb0b failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.015s job=image-be038856fb0b | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-f20a25548595 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-f20a25548595 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-f20a25548595 cached=True | |
| ERROR:app.services.media_jobs:Media job image-f20a25548595 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.011s job=image-f20a25548595 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-50d2510a9ade source=none cached=False | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-50d2510a9ade | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.001s job=image-50d2510a9ade cached=False | |
| ERROR:app.services.media_jobs:Media job image-50d2510a9ade failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.014s job=image-50d2510a9ade | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.002s job=image-b1104f03d124 source=none cached=False | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-b1104f03d124 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.001s job=image-b1104f03d124 cached=False | |
| ERROR:app.services.media_jobs:Media job image-b1104f03d124 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.147s job=image-b1104f03d124 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-20b556aa21c7 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-20b556aa21c7 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-20b556aa21c7 cached=True | |
| ERROR:app.services.media_jobs:Media job image-20b556aa21c7 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.014s job=image-20b556aa21c7 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.001s job=image-3f62eda921b4 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.001s job=image-3f62eda921b4 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-3f62eda921b4 cached=True | |
| ERROR:app.services.media_jobs:Media job image-3f62eda921b4 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| file_path, result_url = _run_coroutine_blocking(task_func) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| return asyncio.run(task_func()) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| return await self._build_image_task(params) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| res_path = await self._image.generate_image( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| return _qwen_edit_on_gpu(job) | |
| ^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| provider.ensure_ready(editing=bool(job.get("editing", True))) | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| device, dtype = self._resolve_execution_target(torch) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| raise RuntimeError( | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.016s job=image-3f62eda921b4 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.003s job=image-d35297f627d5 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.004s job=image-d35297f627d5 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-d35297f627d5 cached=True | |
| ERROR:app.services.media_jobs:Media job image-d35297f627d5 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| if job.status in (COMPLETED, FAILED): | |
| ^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| max_attempts=self._max_attempts(), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| "output_path": output_path, | |
| ^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| } | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| except Exception: # pragma: no cover - logging introspection must not run a job | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| def _resolve_execution_target(self, torch) -> Tuple[Any, Any]: | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.069s job=image-d35297f627d5 | |
| INFO:app.services.companion_service:image generation avatar_preparation=0.002s job=image-06dc270db220 source=inline cached=True | |
| INFO:app.services.media_jobs:image generation queue_wait=0.002s job=image-06dc270db220 | |
| INFO:app.services.companion_service:image generation avatar_cache_lookup=0.000s job=image-06dc270db220 cached=True | |
| ERROR:app.services.media_jobs:Media job image-06dc270db220 failed: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| Traceback (most recent call last): | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 356, in _run | |
| if job.status in (COMPLETED, FAILED): | |
| ^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\media_jobs.py", line 388, in _run_coroutine_blocking | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 190, in run | |
| return runner.run(main) | |
| ^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\runners.py", line 118, in run | |
| return self._loop.run_until_complete(task) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Dell\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 654, in run_until_complete | |
| return future.result() | |
| ^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 683, in _run | |
| max_attempts=self._max_attempts(), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\companion_service.py", line 386, in _build_image_task | |
| "output_path": output_path, | |
| ^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1991, in generate_image | |
| } | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1371, in _qwen_edit_on_gpu | |
| except Exception: # pragma: no cover - logging introspection must not run a job | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1648, in ensure_ready | |
| File "E:\DevAtlas\python-ai\app\services\providers\image_provider.py", line 1526, in _resolve_execution_target | |
| def _resolve_execution_target(self, torch) -> Tuple[Any, Any]: | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| RuntimeError: Qwen-Image-Edit-2511 requires a CUDA GPU, and torch.cuda.is_available() is False on this host. The card was not found, so nothing was loaded and no other image model (SD1.5, SDXL, FLUX, Z-Image-Turbo) was substituted. The transformer alone needs about 38.2 GB of VRAM. | |
| INFO:app.services.media_jobs:image generation total_job_time=0.017s job=image-06dc270db220 | |