Instructions to use crumb/alpha-wolf-dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crumb/alpha-wolf-dreambooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("crumb/alpha-wolf-dreambooth", 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`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (57100ce8b8178cc7ef39ee12c810f4464f3a2827) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>7b4b40a
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Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (19ff7cdda760e0dfd6ba7a79b0e5b09bedf0d11b) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>06e842f
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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. (e111ea92113f8d35b2a6e24583f4bc1a8dc20b73) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>d5f1bd8
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#1)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (80cf3ab0fd4f7690da08738c2b3adf873934184d) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>15b4077
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