Image-to-Image
Diffusers
flux
lora
fal
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("fal/Broccoli-Hair-Kontext-Dev-LoRA")

prompt = "Change hair to a broccoli haircut"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")

image = pipe(image=input_image, prompt=prompt).images[0]

Broccoli haircut Kontext Dev LoRA

Prompt
Change hair to a broccoli haircut
Prompt
Change hair to a broccoli haircut
Prompt
Change hair to a broccoli haircut

Model description

Trigger phrase

Change hair to a broccoli haircut

Download model

Weights for this model are available in Safetensors format.

Download

Training at fal.ai

Training was done using fal.ai/models/fal-ai/flux-kontext-trainer/playground.

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