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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- photo
- restore
- art
widget:
- src: images/1.jpg
text: >-
[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.
prompt: >
[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..
output:
url: images/2.webp
base_model: black-forest-labs/FLUX.1-Kontext-dev
instance_prompt: >-
[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.
license: other
license_name: flux-1-dev-non-commercial-license
license_link: LICENSE.md
pipeline_tag: image-to-image
---
# **Photo-Restore-i2i [Image-to-Image]**
<Gallery />
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:
> [!note]
[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.
---
## Sample Inference
| ex1 | ex2 |
|------|-------|
|  |  |
---
## Parameter Settings
| Setting | Value |
| ------------------------ | ------------------------ |
| Module Type | Adapter |
| Base Model | FLUX.1 Kontext Dev - fp8 |
| 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. |
| Image Processing Repeats | 50 |
| Epochs | 28 |
| Save Every N Epochs | 1 |
Labeling: DeepCaption-VLA-7B(natural language & English)
Total Images Used for Training : 50 Image Pairs (25 Start, 25 End)
Synthetic Result Node generated by NanoBanana from Google (Image Result Sets Dataset)
## 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 | 4100 |
| Sampler | euler |
---
## Trigger words
You should use `[photo content]` to trigger the image generation.
You should use `restore and enhance the image by repairing any damage` to trigger the image generation.
You should use `scratches` to trigger the image generation.
You should use `or fading. Colorize the photo naturally while preserving authentic textures and details` to trigger the image generation.
You should use `maintaining a realistic and historically accurate look.` to trigger the image generation.
## Download model
[Download](/prithivMLmods/Photo-Restore-i2i/tree/main) them in the Files & versions tab. |