Instructions to use flax/classic-anim-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/classic-anim-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/classic-anim-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`. (bc42d760d62a54e3acbc7cf652b9dde0570a8d85)0b27bd9
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (d3f0c92dfd6a2e18da41308c9fd95dc494f1ebee) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>8ba4d15
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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. (8aaf87190b3aa8ef5684817e63c90412eddaaa9b) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>3b9646c
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Update unet/config.json
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tags
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tags
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flax
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initial commit
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