Instructions to use tuwonga/supermarionation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/supermarionation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tuwonga/supermarionation", 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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Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (dec40e11f5a031ea55840a2be2338f7f4be186af) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>316faa0
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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. (14e2040b3468d4d303057bab1bbbbff48eaf9dab) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>a69401f
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Add Diffusers weights (#1)
- Add Diffusers weights (0de4a04b04b75e79756bf37932cead31876ebb73)22a0068 -
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initial commit
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