How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Skatch/front-profile")

prompt = "n"
image = pipe(prompt).images[0]

front-profile

Prompt
n
Negative Prompt
mm

Trigger words

You should use front to trigger the image generation.

You should use body to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month
3
Inference Providers NEW
Examples

Model tree for Skatch/front-profile

Adapter
(39721)
this model

Space using Skatch/front-profile 1