Instructions to use BBBBruce/SANA-WM_bidirectional-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BBBBruce/SANA-WM_bidirectional-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BBBBruce/SANA-WM_bidirectional-diffusers", 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
Download model_index.json from BBBBruce/SANA-WM_bidirectional-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 321 Bytes
-
https://huggingface.co/BBBBruce/SANA-WM_bidirectional-diffusers/resolve/main/model_index.json
- Command line
-
hf download hf://BBBBruce/SANA-WM_bidirectional-diffusers/model_index.json
-
curl -L -o model_index.json https://huggingface.co/BBBBruce/SANA-WM_bidirectional-diffusers/resolve/main/model_index.json
321 Bytes
| { | |
| "_class_name": "SanaWmTwoStagesPipeline", | |
| "_diffusers_version": "0.35.0", | |
| "transformer": [ | |
| "vllm_omni.diffusion.models.sana_wm.sana_wm_transformer", | |
| "SanaWmTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ], | |
| "refiner": [ | |
| "diffusers", | |
| "LTXVideoTransformer3DModel" | |
| ] | |
| } | |