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prithivMLmods/Kontext-Top-Down-View
Kontext-Top-Down-View is a image-to-image model from prithivMLmods. Use it when you need one image transformed into another. It is set up for diffusers. The card lists the license as other.
Downloads · 30 days
53
6% of all-time downloads
All-time downloads
816
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From the Hugging Face model README

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.
[!note] [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.
| 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)
| 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 | - |
| Setting | Value |
|---|---|
| Shuffle Caption | - |
| Keep N Tokens | - |
| 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 |
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.
Download them in the Files & versions tab.