Instructions to use jmamou/sd-pokemon-distil-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jmamou/sd-pokemon-distil-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jmamou/sd-pokemon-distil-model", 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`. (4742e9595573e984c4a92611d8240692b0dd9c11) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>6a0d8d6
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (d8bbedf4ca7bddb42c403915cc90c2303221a22a) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>b3576f0
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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. (2bc97383f25e199bbc705b03601bbeabb0330954) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>f80ff22
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Update from jmamou
ab6d744 -
initial commit
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