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]
- 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.
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:
[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 them in the Files & versions tab.