Instructions to use flax/Cyberpunk-Anime-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/Cyberpunk-Anime-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("flax/Cyberpunk-Anime-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`. (440f4283cd179a417561c058a015ffd8f5df07ea)95a6bf0
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (6795a89ccd7ed676331a5777b22119d079a78be7) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>b6dd1c2
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (a22a6545a3c6de139b9dd959a16a7b392476dc4e) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>6149905
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Update unet/config.json
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Update README.md
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tags
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flax
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initial commit
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