Text-to-Image
Diffusers
Safetensors
AXQReferenceDiffusionPipeline
axquant
axq
nvfp4
reference-storage
research-only
development
Instructions to use AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download reference-runtime-smoke.json from AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4: direct link, hf CLI and curl.
- Browser
- Download file 983 Bytes
-
https://huggingface.co/AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4/resolve/main/reference-runtime-smoke.json
- Command line
-
hf download hf://AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4/reference-runtime-smoke.json
-
curl -L -o reference-runtime-smoke.json https://huggingface.co/AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4/resolve/main/reference-runtime-smoke.json
983 Bytes
| { | |
| "device": "mps", | |
| "diffusers_version": "0.41.0", | |
| "execution": "BF16 reconstruction; ordinary PyTorch operators; MPS CPU fallback enabled", | |
| "hardware": "Mac Studio M2 Ultra 192 GB", | |
| "height": 512, | |
| "load_and_image_generation": "passed", | |
| "manifest_sha256": "571e02255ddd7d3c4eedd7b805d4545289b93d042c9ee0db761b5d680783eb6e", | |
| "native_low_precision_execution": false, | |
| "output_file": "reference-output.png", | |
| "output_pixel_stddev": 81.6553239994759, | |
| "output_sha256": "ba44f8031147893b0dcf9e497bcbecde75055377973dab426fe8cc3be602f24a", | |
| "prompt": "A red cube on a plain white background", | |
| "quality_certified": false, | |
| "sample_sigmas": [ | |
| 1.0, | |
| 0.978453, | |
| 0.95418, | |
| 0.926626, | |
| 0.89508, | |
| 0.845148, | |
| 0.704534, | |
| 0.414568 | |
| ], | |
| "schema_version": "axquant.diffusion-reference-runtime.v1", | |
| "seed": 0, | |
| "source_model": "Qwen/Qwen-Image-2.1-Turbo", | |
| "steps": 8, | |
| "torch_version": "2.14.1", | |
| "transformers_version": "5.19.0", | |
| "width": 512 | |
| } | |