metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
Bruce Lee at the Lion Cafe, multicolored hair, happy face, real photo,
hawai t-short
output:
url: samples/1746175198466__000001126_0.jpg
- text: >-
A Bruce Lee as professional street fighter, cool face expression, urban
street, muscle body
output:
url: samples/1746175228605__000001126_1.jpg
- text: >-
A Bruce Lee as president of Hong Kong, purple suit, Jungkook hairstyle and
earrings
output:
url: samples/1746175258846__000001126_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Bruce Lee
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
bruce-lee
Model trained with AI Toolkit by Ostris
- Prompt
- Bruce Lee at the Lion Cafe, multicolored hair, happy face, real photo, hawai t-short
- Prompt
- A Bruce Lee as professional street fighter, cool face expression, urban street, muscle body
- Prompt
- A Bruce Lee as president of Hong Kong, purple suit, Jungkook hairstyle and earrings
Trigger words
You should use Bruce Lee to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/bruce-lee', weight_name='bruce-lee.safetensors')
image = pipeline('Bruce Lee at the Lion Cafe, multicolored hair, happy face, real photo, hawai t-short').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers