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 static-validation.json from AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4: direct link, hf CLI and curl.
- Browser
- Download file 555 Bytes
-
https://huggingface.co/AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4/resolve/main/static-validation.json
- Command line
-
hf download hf://AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4/static-validation.json
-
curl -L -o static-validation.json https://huggingface.co/AutomatosX/AX-Image-2.1-Turbo-AXQ-NVFP4/resolve/main/static-validation.json
555 Bytes
| { | |
| "complete_diffusers_component_reconstruction": "passed", | |
| "manifest_sha256": "571e02255ddd7d3c4eedd7b805d4545289b93d042c9ee0db761b5d680783eb6e", | |
| "max_sample_relative_l2_error": 0.09855291992425919, | |
| "native_low_precision_execution": false, | |
| "preserved_tensors_byte_identical": 73, | |
| "quality_certified": false, | |
| "quantized_matrices": 224, | |
| "sample_rows_per_matrix": 3, | |
| "schema_version": "axquant.diffusion-static-validation.v1", | |
| "source_model": "Qwen/Qwen-Image-2.1-Turbo", | |
| "source_revision": "fc13ba1986fcb905854dc8de2f52eee395f49b5b" | |
| } | |