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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- template:diffusion-lora |
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- photo |
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- restore |
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- art |
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widget: |
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- src: images/1.jpg |
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text: >- |
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[photo content], restore and enhance the image by repairing any damage, scratches, or fading. Colorize the photo naturally while preserving authentic textures and details, maintaining a realistic and historically accurate look. |
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prompt: > |
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[photo content], restore and enhance the image by repairing any damage, scratches, or fading. Colorize the photo naturally while preserving authentic textures and details, maintaining a realistic and historically accurate look.. |
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output: |
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url: images/2.webp |
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base_model: black-forest-labs/FLUX.1-Kontext-dev |
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instance_prompt: >- |
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[photo content], restore and enhance the image by repairing any damage, |
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scratches, or fading. Colorize the photo naturally while preserving authentic |
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textures and details, maintaining a realistic and historically accurate look. |
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license: other |
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license_name: flux-1-dev-non-commercial-license |
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license_link: LICENSE.md |
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pipeline_tag: image-to-image |
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--- |
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# **Photo-Restore-i2i [Image-to-Image]** |
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<Gallery /> |
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Photo-Restore-i2i is an adapter for black-forest-lab's FLUX.1-Kontext-dev, designed to restore old photos into mid-colorized, detailed images. The model was trained on 50 image pairs (25 start images, 25 end images). Synthetic result nodes were generated using NanoBanana from Google and SeedDream 4 (dataset for result sets), and labeled with DeepCaption-VLA-7B. The adapter is triggered with the following prompt: |
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> [!note] |
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[photo content], restore and enhance the image by repairing any damage, scratches, or fading. Colorize the photo naturally while preserving authentic textures and details, maintaining a realistic and historically accurate look. |
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--- |
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## Sample Inference |
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| ex1 | ex2 | |
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|------|-------| |
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|  |  | |
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--- |
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## Parameter Settings |
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| Setting | Value | |
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| ------------------------ | ------------------------ | |
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| Module Type | Adapter | |
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| Base Model | FLUX.1 Kontext Dev - fp8 | |
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| Trigger Words | [photo content], restore and enhance the image by repairing any damage, scratches, or fading. Colorize the photo naturally while preserving authentic textures and details, maintaining a realistic and historically accurate look. | |
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| Image Processing Repeats | 50 | |
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| Epochs | 28 | |
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| Save Every N Epochs | 1 | |
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Labeling: DeepCaption-VLA-7B(natural language & English) |
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Total Images Used for Training : 50 Image Pairs (25 Start, 25 End) |
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Synthetic Result Node generated by NanoBanana from Google (Image Result Sets Dataset) |
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## Training Parameters |
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| Setting | Value | |
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| --------------------------- | --------- | |
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| Seed | - | |
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| Clip Skip | - | |
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| Text Encoder LR | 0.00001 | |
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| UNet LR | 0.00005 | |
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| LR Scheduler | constant | |
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| Optimizer | AdamW8bit | |
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| Network Dimension | 64 | |
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| Network Alpha | 32 | |
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| Gradient Accumulation Steps | - | |
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## Label Parameters |
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| Setting | Value | |
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| --------------- | ----- | |
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| Shuffle Caption | - | |
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| Keep N Tokens | - | |
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## Advanced Parameters |
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| Setting | Value | |
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| ------------------------- | ----- | |
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| Noise Offset | 0.03 | |
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| Multires Noise Discount | 0.1 | |
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| Multires Noise Iterations | 10 | |
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| Conv Dimension | - | |
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| Conv Alpha | - | |
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| Batch Size | - | |
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| Steps | 4100 | |
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| Sampler | euler | |
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--- |
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## Trigger words |
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You should use `[photo content]` to trigger the image generation. |
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You should use `restore and enhance the image by repairing any damage` to trigger the image generation. |
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You should use `scratches` to trigger the image generation. |
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You should use `or fading. Colorize the photo naturally while preserving authentic textures and details` to trigger the image generation. |
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You should use `maintaining a realistic and historically accurate look.` to trigger the image generation. |
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## Download model |
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[Download](/prithivMLmods/Photo-Restore-i2i/tree/main) them in the Files & versions tab. |
