Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use lazzdw/fatyoshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lazzdw/fatyoshi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lazzdw/fatyoshi", dtype=torch.bfloat16, device_map="cuda") prompt = "fatchonkyyoshi, by van gogh" 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`. (b61bbdbefcbae5986965e39135d225bef88c2dce)9bc0686
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (1590eb67f98e0abda9d377e1e022488fc75c37fa) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>36c4b97
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further improvements
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further improvements
fatyoshi now fatb1a3b03 -
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