Instructions to use pomercier/Francois_Legault with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pomercier/Francois_Legault with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pomercier/Francois_Legault", dtype=torch.bfloat16, device_map="cuda") prompt = "Francois Legault " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Update README.md
7e0a929
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (941cda5196ff7d36de30d989e812a7f2afeb9bca)5b9dab9
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (c08cb20d3e9c9b621b10592b0ff04edb67654848) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>4901b86
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Update README.md
0b2bd6e
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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. (ca83fa0a754e5581534e65aa87206c5e66e80be2) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>5f796e3
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Update README.md
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Update README.md
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Update README.md
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Upload diffusers weights
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Pierre-Olivier H.Mercierd92560a