Introduction of refcontrol-FLUX.2-klein-9B-reference-normal-lora
Model Details of refcontrol-FLUX.2-klein-9B-reference-normal-lora
RefControl FLUX.2 Klein 9B โ Reference Normal LoRA
๐ Short description
A LoRA for
FLUX.2 Klein 9B Base
that fuses a
reference image
(identity) with a
normal map
(structure / surface orientation).
It preserves
identity and style
from the reference while following the
3D shape and composition
from the normal control map.
Trigger word:
refcontrol
๐ Examples
Each preview is a
single combined image
from ComfyUI:
Normal โ Reference โ Result
(left to right).
Normal โ Reference โ Result
---
๐ Extended description
This LoRA was primarily trained on
humans
, but it also works with
stylized characters
and some objects.
Its main purpose is to
preserve identity
โ facial features, hairstyle, clothing, or object details โ from the reference image, while adapting the subject to the
structure and surface orientation
defined by the normal map.
FLUX.2 Klein 9B Base
already handles reference + normal-guided transfer reasonably well with the right prompt alone. This LoRA builds on that capability โ it improves consistency and
better preserves character identity and normal-map fidelity
than the base model without LoRA.
Part of the
RefControl
family: reference + control fusion for consistent, controllable generation on
FLUX.2 Klein 9B Base
.
โ๏ธ How to use
Use the
first image
as the
normal map
(structure / surface orientation).
Use the
second image
as the
reference
(character, person, or object).
Add the trigger word
refcontrol
in your prompt.
Adjust LoRA weight (recommended
0.8โ1.0
) depending on how strongly you want to preserve identity.
ComfyUI requirements
Normal map extraction in the included workflow uses
DSINE-NormalMapPreprocessor
(via
comfyui_controlnet_aux
):
You can disable the built-in normal preprocessor if your input is already a normal map image.
Base model
Trained on and recommended with
black-forest-labs/FLUX.2-klein-base-9B
.
The undistilled Base variant is intended for LoRA training and custom pipelines (~50 inference steps,
guidance_scale
~4.0).
The LoRA also works with the
4-step distilled
black-forest-labs/FLUX.2-klein-9B
for faster inference (~4 steps,
guidance_scale
~1.0), but
quality may be slightly lower
โ especially for identity and normal-map fidelity โ compared to the Base model.
โ Example prompt
refcontrol
๐ฏ What it does
Preserves
character or object identity
across generations.
Adapts the subject to a
new structure or composition
defined by the normal map.
Works best when the normal map has
similar proportions and scale
to the reference.
โก Tips
Best results when the normal map is not drastically different in body scale or framing from the reference.
Combine with
text prompts
to refine background, lighting, or mood.
Normal maps
with clear surface orientation and consistent lighting work well as control input.
๐ Use cases
Character restyling while keeping identity and normal-defined structure.
Consistent
character design
across different compositions.
Illustration and storyboard generation with normal-guided layout.
Object transformations with surface-orientation-guided placement.
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