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Update main.py
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main.py
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@@ -118,7 +118,8 @@ async def generate_t2v_stream(
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global t2v_pipe
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start_time = time.time()
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if t2v_pipe is None:
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load_models()
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@@ -141,7 +142,8 @@ async def generate_t2v_stream(
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print(f"[PROGRESS] {data}")
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return callback_kwargs
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video_frames = t2v_pipe(
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prompt=prompt,
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@@ -153,17 +155,20 @@ async def generate_t2v_stream(
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callback_on_step_end=step_callback
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).frames[0]
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filename = f"vid_{uuid.uuid4().hex[:10]}.mp4"
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with tempfile.TemporaryDirectory() as tmpdir:
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temp_video_path = os.path.join(tmpdir, filename)
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export_to_video(video_frames, temp_video_path, fps=8)
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r2_url = upload_file_to_r2(temp_video_path, filename)
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return StreamingResponse(event_stream(), media_type="text/event-stream")
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@@ -180,7 +185,8 @@ async def generate_i2v_stream(
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global i2v_pipe
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start_time = time.time()
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if i2v_pipe is None:
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load_models()
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@@ -201,7 +207,8 @@ async def generate_i2v_stream(
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msg = f"تحريك الصورة: الخطوة {current_step} من {num_inference_steps} | الوقت المتبقي: ~{eta_seconds} ثانية"
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return callback_kwargs
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video_frames = i2v_pipe(
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prompt=prompt,
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@@ -214,16 +221,19 @@ async def generate_i2v_stream(
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callback_on_step_end=step_callback
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).frames[0]
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filename = f"vid_i2v_{uuid.uuid4().hex[:10]}.mp4"
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with tempfile.TemporaryDirectory() as tmpdir:
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temp_video_path = os.path.join(tmpdir, filename)
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export_to_video(video_frames, temp_video_path, fps=8)
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r2_url = upload_file_to_r2(temp_video_path, filename)
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return StreamingResponse(event_stream(), media_type="text/event-stream")
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global t2v_pipe
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start_time = time.time()
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payload = json.dumps({'status': 'info', 'progress': 5, 'message': 'تجهيز بيئة الـ GPU A100...'})
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yield f"data: {payload}\n\n"
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if t2v_pipe is None:
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load_models()
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print(f"[PROGRESS] {data}")
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return callback_kwargs
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payload = json.dumps({'status': 'generating', 'progress': 10, 'message': 'بدء عمليات الانتشار التوليدي...'})
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yield f"data: {payload}\n\n"
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video_frames = t2v_pipe(
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prompt=prompt,
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callback_on_step_end=step_callback
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).frames[0]
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payload = json.dumps({'status': 'encoding', 'progress': 92, 'message': 'جاري ضغط وترميز الفيديو بأعلى جودة (MP4)...'})
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yield f"data: {payload}\n\n"
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filename = f"vid_{uuid.uuid4().hex[:10]}.mp4"
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with tempfile.TemporaryDirectory() as tmpdir:
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temp_video_path = os.path.join(tmpdir, filename)
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export_to_video(video_frames, temp_video_path, fps=8)
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payload = json.dumps({'status': 'uploading', 'progress': 96, 'message': 'جاري الرفع المباشر إلى Cloudflare R2...'})
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yield f"data: {payload}\n\n"
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r2_url = upload_file_to_r2(temp_video_path, filename)
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payload = json.dumps({'status': 'completed', 'progress': 100, 'message': 'تم التوليد بنجاح!', 'video_url': r2_url})
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yield f"data: {payload}\n\n"
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return StreamingResponse(event_stream(), media_type="text/event-stream")
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global i2v_pipe
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start_time = time.time()
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payload = json.dumps({'status': 'info', 'progress': 5, 'message': 'قراءة الصورة وتحضير A100...'})
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yield f"data: {payload}\n\n"
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if i2v_pipe is None:
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load_models()
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msg = f"تحريك الصورة: الخطوة {current_step} من {num_inference_steps} | الوقت المتبقي: ~{eta_seconds} ثانية"
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return callback_kwargs
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payload = json.dumps({'status': 'generating', 'progress': 10, 'message': 'بدء تحريك الإطارات من الصورة...'})
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yield f"data: {payload}\n\n"
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video_frames = i2v_pipe(
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prompt=prompt,
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callback_on_step_end=step_callback
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).frames[0]
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payload = json.dumps({'status': 'encoding', 'progress': 92, 'message': 'جاري ضغط وترميز الفيديو...'})
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yield f"data: {payload}\n\n"
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filename = f"vid_i2v_{uuid.uuid4().hex[:10]}.mp4"
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with tempfile.TemporaryDirectory() as tmpdir:
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temp_video_path = os.path.join(tmpdir, filename)
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export_to_video(video_frames, temp_video_path, fps=8)
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payload = json.dumps({'status': 'uploading', 'progress': 96, 'message': 'جاري الرفع إلى Cloudflare R2...'})
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yield f"data: {payload}\n\n"
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r2_url = upload_file_to_r2(temp_video_path, filename)
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payload = json.dumps({'status': 'completed', 'progress': 100, 'message': 'تم التوليد بنجاح!', 'video_url': r2_url})
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yield f"data: {payload}\n\n"
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return StreamingResponse(event_stream(), media_type="text/event-stream")
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