metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >
Leonardo DiCaprio as professional football player, happy face, black hair,
real photo, 26K
output:
url: samples/1746285974945__000001122_0.jpg
- text: >
A Leonardo DiCaprio as France president, green hair color, orange suit,
cigarette in lips, 26K
output:
url: samples/1746286004830__000001122_1.jpg
- text: >-
Leonardo DiCaprio as a professional bodybuilder, real photo, 26K, earrings
in ears
output:
url: samples/1746286034870__000001122_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Leonardo DiCaprio
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
leonardo-dicaprio
- Prompt
- Leonardo DiCaprio as professional football player, happy face, black hair, real photo, 26K
- Prompt
- A Leonardo DiCaprio as France president, green hair color, orange suit, cigarette in lips, 26K
- Prompt
- Leonardo DiCaprio as a professional bodybuilder, real photo, 26K, earrings in ears
Trigger words
You should use Leonardo DiCaprio 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/leonardo-dicaprio', weight_name='leonardo-dicaprio.safetensors')
image = pipeline('Leonardo DiCaprio as professional football player, happy face, black hair, real photo, 26K
').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers