Instructions to use AiMamis/Boxxy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiMamis/Boxxy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AiMamis/Boxxy") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from AiMamis/Boxxy: direct link, hf CLI and curl.
- Browser
- Download file 723 Bytes
-
https://huggingface.co/AiMamis/Boxxy/resolve/main/README.md
- Command line
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hf download hf://AiMamis/Boxxy/README.md
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curl -L -o README.md https://huggingface.co/AiMamis/Boxxy/resolve/main/README.md
723 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/Boxxy_00001_.png | |
| text: '-' | |
| base_model: krea/Krea-2-Turbo | |
| instance_prompt: Boxxy, Brunette hair, dark hazel eyes, medium skin, thick eyeliner | |
| license: openrail++ | |
| # Boxxy | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `Boxxy` to trigger the image generation. | |
| You should use `Brunette hair` to trigger the image generation. | |
| You should use `dark hazel eyes` to trigger the image generation. | |
| You should use `medium skin` to trigger the image generation. | |
| You should use `thick eyeliner` to trigger the image generation. | |
| ## Download model | |
| [Download](/AiMamis/Boxxy/tree/main) them in the Files & versions tab. | |