Instructions to use s3nh/zelda-botw-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use s3nh/zelda-botw-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("s3nh/zelda-botw-stable-diffusion", 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
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (8fe0abcc81ff82848255415759ea4992363282df) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>da0eb7b
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (f45f55da7be09199ceab16f0b6c9bb56209cb044) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>8317d79
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Update README.md
209b150 -
Upload with huggingface_hub (#1)
- Upload with huggingface_hub (3d93eac11c7e71b98e563fc488adf0dea1e58833)41ab31d -
initial commit
9a73deb