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
-
https://huggingface.co/Luisdure/model_of2/resolve/main/README.md
- Command line
-
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
metadata
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

- Prompt
- -
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 them in the Files & versions tab.