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
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README.md
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Future benchmark iterations might include different arches, more models and more characters.
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## Bias and Limitations
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General data biases from Danbooru might apply.
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Future benchmark iterations might include different arches, more models and more characters.
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P.S. While benchmark tests characters purely with their own trigger with no helper tags, it is advised to utilize series/game for better adherence. Characters that might appear not working initially could start working with appearance tags.
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## Bias and Limitations
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General data biases from Danbooru might apply.
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