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/Realism-Detailer-Kontext-Dev-LoRA")

prompt = "Add details to this face, improve skin details"
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]

Realism Face Detailer Kontext Dev LoRA

Prompt
Add details to this face, improve skin details
Prompt
Add details to this face, improve skin details
Prompt
Add details to this face, improve skin details

Model description

Trigger phrase

Add details to this face, improve skin details

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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