--- tags: - text-to-image - lora - diffusers - template:diffusion-lora base_model: black-forest-labs/FLUX.1-Kontext-dev instance_prompt: >- [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. license: other license_name: flux-1-dev-non-commercial-license license_link: LICENSE.md language: - en pipeline_tag: image-to-image library_name: diffusers --- ![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/rXkxuP7K8JTRXHGdAzsk2.png) # **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. > [!note] [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. --- ## **Sample Inferences : Demo**
Kontext-CAM-Left-View Kontext-CAM-Left-View
Kontext-CAM-Left-View Kontext-CAM-Left-View
--- ## 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 | --- ## 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. ## Download model [Download](/prithivMLmods/Kontext-CAM-Left-View/tree/main) them in the Files & versions tab.