Instructions to use LegoClipStars/Gallus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LegoClipStars/Gallus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LegoClipStars/Gallus") prompt = "NEFT" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from LegoClipStars/Gallus: direct link, hf CLI and curl.
- Browser
- Download file 497 Bytes
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https://huggingface.co/LegoClipStars/Gallus/resolve/main/README.md
- Command line
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hf download hf://LegoClipStars/Gallus/README.md
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curl -L -o README.md https://huggingface.co/LegoClipStars/Gallus/resolve/main/README.md
497 Bytes
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: NEFT | |
| parameters: | |
| negative_prompt: Flying griffon | |
| output: | |
| url: images/FsJVATTacAE4tVY.jpg | |
| base_model: cagliostrolab/animagine-xl-3.0 | |
| instance_prompt: null | |
| license: cc-by-4.0 | |
| # Gallus | |
| <Gallery /> | |
| ## Model description | |
| Here's my RVC 700 epoch voice model of Gallus from MLP:FIM | |
| ## Download model | |
| [Download](/LegoClipStars/Gallus/tree/main) them in the Files & versions tab. | |