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prithivMLmods/Monochrome-Pencil
Monochrome-Pencil 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
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From the Hugging Face model README

Monochrome-Pencil-i2i is an adapter for black-forest-lab's FLUX.1-Kontext-dev. It is a Sketch LoRA trained for seamless conversion of any image into a monochrome pencil sketch while preserving the original characteristics of the image. The model was trained on 40 image pairs (20 start images, 20 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], replicate the image as a pencil illustration, black and white, with sketch-like detailing.
| FLUX.1-Kontext-dev | <span style="color:red">Monochrome-Pencil</span> |
|---|---|
![]() | ![]() |
| ex1-<span style="color:red">Monochrome-Pencil</span> | ex2-<span style="color:red">Monochrome-Pencil</span> |
|---|---|
![]() | ![]() |
| Setting | Value |
|---|---|
| Module Type | Adapter |
| Base Model | FLUX.1 Kontext Dev - fp8 |
| Trigger Words | [photo content], replicate the image as a pencil illustration, black and white, with sketch-like detailing. |
| Image Processing Repeats | 50 |
| Epochs | 25 |
| Save Every N Epochs | 1 |
Labeling: DeepCaption-VLA-7B(natural language & English)
Total Images Used for Training : 40 Image Pairs (20 Start, 20 End)
Synthetic result nodes were generated using NanoBanana from Google and SeedDream 4 (dataset for result sets)
| 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 | 3900 |
| Sampler | euler |
You should use [photo content] to trigger the image generation.
You should use replicate the image as a pencil illustration to trigger the image generation.
You should use black and white to trigger the image generation.
You should use with sketch-like detailing. to trigger the image generation.
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