Downloads · 30 days
343
15% of all-time downloads
prithivMLmods/Kontext-Unblur-Upscale
Kontext-Unblur-Upscale is a image-to-image model from prithivMLmods. Use it when you need one image transformed into another. It is set up for diffusers. The card lists the license as other.
Downloads · 30 days
343
15% of all-time downloads
All-time downloads
2.3K
Public
Repo size
613 MB
Likes
8
Public
Click a slice to open those files.
.safetensors613 MB · 100%
From the Hugging Face model README

The Kontext-Unblur-Upscale is an experimental adapter for black-forest-lab's FLUX.1-Kontext-dev, designed to upscale low-quality images to 4K resolution, enhancing sharpness, clarity, and fine details while preserving the original texture, colors, lighting, and natural appearance. The model effectively removes noise, blur, and compression artifacts, ensuring high-fidelity restoration and visually realistic results. It was trained on 1,000 image pairs (500 start images and 500 end images) to deliver precise, artifact-free upscaling performance.
[!note] [photo content], upscale the low-quality image to 4K resolution, enhancing sharpness, clarity, and fine details while preserving the original texture, colors, lighting, and natural appearance. Remove noise, blur, and compression artifacts without over-smoothing or distorting facial or object features. Ensure realistic depth, balanced contrast, and accurate tones, achieving a high-definition, lifelike result that maintains the integrity of the original image.
You modified the prompt, altering its properties and subjective elements. Note: this is an experimental adapter and may contain artifacts.
| Setting | Value |
|---|---|
| Module Type | Adapter |
| Base Model | FLUX.1 Kontext Dev - fp8 |
| Trigger Words | [photo content], upscale the low-quality image to 4K resolution, enhancing sharpness, clarity, and fine details while preserving the original texture, colors, lighting, and natural appearance. Remove noise, blur, and compression artifacts without over-smoothing or distorting facial or object features. Ensure realistic depth, balanced contrast, and accurate tones, achieving a high-definition, lifelike result that maintains the integrity of the original image. |
| Image Processing Repeats | 50 |
| Epochs | 30 |
| Save Every N Epochs | 1 |
Labeling: DeepCaption-VLA-7B(natural language & English)
Total Images Used for Training : 1000 Image Pairs (500 Start, 500 End)
| 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 | - |
| Setting | Value |
|---|---|
| Shuffle Caption | - |
| Keep N Tokens | - |
| Setting | Value |
|---|---|
| Noise Offset | 0.03 |
| Multires Noise Discount | 0.1 |
| Multires Noise Iterations | 10 |
| Conv Dimension | - |
| Conv Alpha | - |
| Batch Size | - |
| Steps | 4500 & 400(warm up) |
| Sampler | euler |
You should use [photo content] to trigger the image generation.
You should use upscale the low-quality image to 4K resolution to trigger the image generation.
You should use enhancing sharpness to trigger the image generation.
You should use clarity to trigger the image generation.
You should use and fine details while preserving the original texture to trigger the image generation.
You should use colors to trigger the image generation.
You should use lighting to trigger the image generation.
You should use and natural appearance. Remove noise to trigger the image generation.
You should use blur to trigger the image generation.
You should use and compression artifacts without over-smoothing or distorting facial or object features. Ensure realistic depth to trigger the image generation.
You should use balanced contrast to trigger the image generation.
You should use and accurate tones to trigger the image generation.
You should use achieving a high-definition to trigger the image generation.
You should use lifelike result that maintains the integrity of the original image.
Download them in the Files & versions tab.