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/ocr_methods.png from leffff/diffusion-alignment-workshop-adapters: direct link, hf CLI and curl.
- Browser
- Download file 2.86 MB
-
https://huggingface.co/leffff/diffusion-alignment-workshop-adapters/resolve/main/samples/ocr_methods.png
- Command line
-
hf download hf://leffff/diffusion-alignment-workshop-adapters/samples/ocr_methods.png
-
curl -L -o ocr_methods.png https://huggingface.co/leffff/diffusion-alignment-workshop-adapters/resolve/main/samples/ocr_methods.png
2.86 MB

- Xet hash:
- 7f9b4502d01bb6c6df9c2585ee425cc981f6b36ca09b751df16dd1e86fabf0ba
- Size of remote file:
- 2.86 MB
- SHA256:
- a568be2b4209978417c2f18f31b0e46b7182630ca5ab99164beaa0c02bce79e0
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