FLUX.1-Kontext RefControl LORA(reference + control input)
Collection
5 items β’ Updated β’ 2
How to use thedeoxen/FLUX.1-Kontext-dev-reference-depth-fusion-LORA with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("thedeoxen/FLUX.1-Kontext-dev-reference-depth-fusion-LORA")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"black-forest-labs/FLUX.1-Kontext-dev", controlnet=controlnet
)A LoRA for Flux Kontext Dev that fuses a reference image (left) with a depth map (right).
It preserves identity and style from the reference while following the pose and structure from the depth map.
Trigger word: redepthkontext
This LoRA was primarily trained on humans, but it also works with objects.
Its main purpose is to preserve identity β facial features, clothing, or object characteristics β from the reference image, while adapting them to the pose and composition defined by the depth map.
redepthkontext in your prompt.redepthkontext change depth map to photo
Base model
black-forest-labs/FLUX.1-Kontext-dev