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Kontext-Top-Down-View

The Kontext-Top-Down-View is an experimental adapter for black-forest-lab's FLUX.1-Kontext-dev, designed to transform scenes into a top-down perspective while maintaining accurate visual proportions, consistent lighting, and realistic spatial relationships. The model ensures that backgrounds, textures, and environmental details remain natural and contextually coherent, producing high-quality, perspective-accurate visual outputs. It was trained on 800 image pairs (400 start images and 400 end images) to achieve precise, geometry-consistent top-down scene generation.

[photo content], recreate the scene from a top-down perspective. Maintain all visual proportions, lighting consistency, and realistic spatial relationships. Ensure the background, textures, and environmental shadows remain naturally aligned from this elevated angle.

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


Sample Inferences : Demo

Kontext-Unblur-Upscale Kontext-Top-Down-View
Kontext-Unblur-Upscale Kontext-Top-Down-View

Parameter Settings

Setting Value
Module Type Adapter
Base Model FLUX.1 Kontext Dev - fp8
Trigger Words [photo content], recreate the scene from a top-down perspective. Maintain all visual proportions, lighting consistency, and realistic spatial relationships. Ensure the background, textures, and environmental shadows remain naturally aligned from this elevated angle.
Image Processing Repeats 50
Epochs 25
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 3800 & 400(warm up)
Sampler euler

Trigger words

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

You should use recreate the scene from a top-down perspective. Maintain all visual proportions to trigger the image generation.

You should use lighting consistency to trigger the image generation.

You should use and realistic spatial relationships. Ensure the background to trigger the image generation.

You should use textures to trigger the image generation.

You should use and environmental shadows remain naturally aligned from this elevated angle. to trigger the image generation.

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