Kontext-CAM-Left-View

The Kontext-CAM-Left-View is an experimental adapter for black-forest-lab's FLUX.1-Kontext-dev, designed to generate a left-side perspective of the scene while preserving consistent lighting, textures, and proportions. The model maintains the realism of all surrounding elements and accurately reveals previously unseen left-side details, ensuring seamless perspective alignment and environmental coherence. It was trained on 800 image pairs (400 start images and 400 end images) to deliver high-fidelity, geometry-consistent left-side viewpoint generation.

[photo content], render the image from the left-side perspective, keeping consistent lighting, textures, and proportions. Maintain the realism of all surrounding elements while revealing previously unseen left-side details consistent with the object’s or scene’s structure.

You modified the prompt, altering its properties and subjective elements. Note: this is an experimental adapter and may contain artifacts.

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Sample Inferences : Demo

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Parameter Settings

Setting	Value
Module Type	Adapter
Base Model	FLUX.1 Kontext Dev - fp8
Trigger Words	[photo content], render the image from the left-side perspective, keeping consistent lighting, textures, and proportions. Maintain the realism of all surrounding elements while revealing previously unseen left-side details consistent with the object’s or scene’s structure.
Image Processing Repeats	42
Epochs	22
Save Every N Epochs	1

Labeling: DeepCaption-VLA-7B(natural language & English)

Total Images Used for Training : 800 Image Pairs (400 Start, 400 End)

Training Parameters

Setting	Value
Seed	-
Clip Skip	-
Text Encoder LR	0.00001
UNet LR	0.00005
LR Scheduler	constant
Optimizer	AdamW8bit
Network Dimension	64
Network Alpha	32
Gradient Accumulation Steps	-

Label Parameters

Setting	Value
Shuffle Caption	-
Keep N Tokens	-

Advanced Parameters

Setting	Value
Noise Offset	0.03
Multires Noise Discount	0.1
Multires Noise Iterations	10
Conv Dimension	-
Conv Alpha	-
Batch Size	-
Steps	3300 & 400(warm up)
Sampler	euler

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Trigger words

You should use [photo content] to trigger the image generation.

You should use render the image from the left-side perspective to trigger the image generation.

You should use keeping consistent lighting to trigger the image generation.

You should use textures to trigger the image generation.

You should use and proportions. Maintain the realism of all surrounding elements while revealing previously unseen left-side details consistent with the object’s or scene’s structure. to trigger the image generation.

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