Instructions to use Luisdure/model_of2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luisdure/model_of2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Luisdure/model_of2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Luisdure/model_of2: direct link, hf CLI and curl.
- Browser
- Download file 542 Bytes
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https://huggingface.co/Luisdure/model_of2/resolve/main/README.md
- Command line
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hf download hf://Luisdure/model_of2/README.md
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curl -L -o README.md https://huggingface.co/Luisdure/model_of2/resolve/main/README.md
542 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/ComfyUI_00135_.webp | |
| base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 | |
| instance_prompt: realistic | |
| license: mit | |
| # of_model2 | |
| <Gallery /> | |
| ## Model description | |
| Nice asian =) | |
| ## Trigger words | |
| You should use `realistic` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Luisdure/model_of2/tree/main) them in the Files & versions tab. | |