Instructions to use plasmo/woolitize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/woolitize with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/woolitize", dtype=torch.bfloat16, device_map="cuda") prompt = "woolitize " 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`. (#5)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (8dc7a44e4e12451e60648fdbd75f45a2cab3fd50) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>b756ad3
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Add `scale_factor` to vae config. (#4)
- Add `scale_factor` to vae config. (427086913f074f585144368595446edc3b17ca63) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>7d4de9b
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#2)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (82ba5cb28f4178315b048f9466dc5fac115f0f23) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>ce6ba31
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Update README.md
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update the widget to include the prompt trigger (#1)
- update the widget to include the prompt trigger (47557532b888c98ccf6d9f3d2f15a46fb7ecabbd) Co-authored-by: 🤗 <clem@users.noreply.huggingface.co>52eb6bb
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Update README.md
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Upload 4 files
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Upload woolitize_sd2ben.ckpt
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Update README.md
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Update README.md
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Upload woolitize_sd2shiv.ckpt
SD2.0 version trained on Shivram6b23cb5
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Upload concept_images with huggingface_hub
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Upload model_index.json with huggingface_hub
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Upload vae with huggingface_hub
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Upload the concept woolitize embeds and token
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initial commit
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