Instructions to use leffff/diffusion-alignment-workshop-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use leffff/diffusion-alignment-workshop-adapters with PEFT:
Task type is invalid.
- Sana
How to use leffff/diffusion-alignment-workshop-adapters with Sana:
# Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from torchvision.utils import save_image sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml") sana.from_pretrained("hf://leffff/diffusion-alignment-workshop-adapters") image = sana( prompt='a cyberpunk cat with a neon sign that says "Sana"', height=1024, width=1024, guidance_scale=5.0, pag_guidance_scale=2.0, num_inference_steps=18, ) - Notebooks
- Google Colab
- Kaggle
Download samples/dataset.png from leffff/diffusion-alignment-workshop-adapters: direct link, hf CLI and curl.
- Browser
- Download file 1.4 MB
-
https://huggingface.co/leffff/diffusion-alignment-workshop-adapters/resolve/main/samples/dataset.png
- Command line
-
hf download hf://leffff/diffusion-alignment-workshop-adapters/samples/dataset.png
-
curl -L -o dataset.png https://huggingface.co/leffff/diffusion-alignment-workshop-adapters/resolve/main/samples/dataset.png
1.4 MB

- Xet hash:
- bb3ad935dc2618b4b65fb05f29516244db5d474eb6b229311fc21cc244aa1e67
- Size of remote file:
- 1.4 MB
- SHA256:
- fbaef7e31ec0ece532d3623135b6b2a3f6375442914453a1355f0d0ecf754b49
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