Instructions to use flax/samdoesart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/samdoesart 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/samdoesart", 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`. (9509177f62e860c4e2b41be4c571c70935f87ee6)b14e0bb
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (e80bd4fac119cdb846bc7be7051cfb5884561e3e) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>bd2d9f6
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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. (673915158aab9a4e0205aeeb452a9758406821cc) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>58eace2
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Update unet/config.json
99f911e
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Create README.md
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flax
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initial commit
68aa67b