Instructions to use dwarfbum/Hassaku with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dwarfbum/Hassaku with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dwarfbum/Hassaku", 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 dwarfbum/Hassaku: direct link, hf CLI and curl.
- Browser
- Download file 255 Bytes
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https://huggingface.co/dwarfbum/Hassaku/resolve/main/README.md
- Command line
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hf download hf://dwarfbum/Hassaku/README.md
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curl -L -o README.md https://huggingface.co/dwarfbum/Hassaku/resolve/main/README.md
255 Bytes
metadata
license: creativeml-openrail-m
library_name: diffusers
tags:
- hassaku
- hassaku hentai model
- hentai model