Instructions to use FallenIncursio/Mossquerade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FallenIncursio/Mossquerade with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FallenIncursio/Mossquerade", 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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Download README.md from FallenIncursio/Mossquerade: direct link, hf CLI and curl.
- Browser
- Download file 2.36 kB
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https://huggingface.co/FallenIncursio/Mossquerade/resolve/main/README.md
- Command line
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hf download hf://FallenIncursio/Mossquerade/README.md
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curl -L -o README.md https://huggingface.co/FallenIncursio/Mossquerade/resolve/main/README.md
2.36 kB
metadata
license: other
base_model:
- OpenMOSS-Team/MOSS-Image-SFT
library_name: diffusers
tags:
- anime
- art
Mossquerade v1
Based on Moss
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Soft semi-painted anime with luminous colors and a satin finish. Have fun.
Recommended Settings
- Sampler:
Euler a - Scheduler:
Moss - Steps:
30