prithivMLmods/Kontext-CAM-Right-View
Kontext-CAM-Right-View
The Kontext-CAM-Right-View is an experimental adapter for black-forest-lab's FLUX.1-Kontext-dev, designed to transform scenes into a right-side camera perspective while preserving natural lighting, accurate geometry, and realistic textures. The model maintains harmony with the original environment, shadows, and visual tone, ensuring smooth perspective transitions and authentic scene composition. It was trained on 800 image pairs (400 start images and 400 end images) to achieve precise, context-aware right-side viewpoint generation.
[!note]
[photo content], generate the right-side perspective of the scene. Ensure natural lighting, accurate geometry, and realistic textures. Maintain harmony with the original image’s environment, shadows, and visual tone while providing the right-side visual continuation.
You modified the prompt, altering its properties and subjective elements. Note: this is an experimental adapter and may contain artifacts.
Sample Inferences : Demo
<table style="width:100%; border-collapse:collapse;"> <tr> <td style="width:50%; text-align:center;"> <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/KJjfb4DqSiL7ydfJCLdyd.jpeg" alt="Kontext-CAM-Right-View" style="width:100%; height:auto;"/> </td> <td style="width:50%; text-align:center;"> <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/5Ll9RVdXWgg9-Qve13Zfe.webp" alt="Kontext-CAM-Right-View" style="width:100%; height:auto;"/> </td> </tr> </table>
<table style="width:100%; border-collapse:collapse;"> <tr> <td style="width:50%; text-align:center;"> <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/wwjVqa5KiFh-9p1hFZcD8.jpeg" alt="Kontext-CAM-Right-View" style="width:100%; height:auto;"/> </td> <td style="width:50%; text-align:center;"> <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/PJtN-ulVWp1XKY96cnysX.webp" alt="Kontext-CAM-Right-View" style="width:100%; height:auto;"/> </td> </tr> </table>
Parameter Settings
Labeling: DeepCaption-VLA-7B(natural language & English)
Total Images Used for Training : 800 Image Pairs (400 Start, 400 End)
Training Parameters
Label Parameters
Advanced Parameters
Trigger words
You should use [photo content] to trigger the image generation.
You should use generate the right-side perspective of the scene. Ensure natural lighting to trigger the image generation.
You should use accurate geometry to trigger the image generation.
You should use and realistic textures. Maintain harmony with the original image’s environment to trigger the image generation.
You should use shadows to trigger the image generation.
You should use and visual tone while providing the right-side visual continuation. to trigger the image generation.
Download model
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