Instructions to use CabalResearch/Mugen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CabalResearch/Mugen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CabalResearch/Mugen", 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
Update README.md
Browse filesRemove note about SwarmUI support which is currently not accurate.
```RuntimeError: Given groups=1, weight of size [320, 32, 3, 3], expected input[2, 9, 152, 104] to have 32 channels, but got 9 channels instead```
README.md
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@@ -89,9 +89,6 @@ We will provide a Node, and hope it will be adapted natively in main repo eventu
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Just install it, and it will patch the model config, no node changes required.
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Apparently works in [SwarmUI](https://github.com/mcmonkeyprojects/SwarmUI) as is.
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Same as your normal inference, but with addition of SD3 sampling node, as this model is Flow-based.
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Recommended Parameters:
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Just install it, and it will patch the model config, no node changes required.
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Same as your normal inference, but with addition of SD3 sampling node, as this model is Flow-based.
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Recommended Parameters:
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