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---
license: apache-2.0
tags:
- Lora
- SDXL
---
# mapchipLora: A LoRA Model for SDXL
**mapchipLora** is a LoRA (Low-Rank Adaptation) model designed for Stable Diffusion XL (SDXL) v1.0. It specializes in generating images with a tilechip aesthetic, commonly used in pixel art and game design.
## Model Overview
- **Base Model:** SDXL v1.0
- **Training Data:** Images originally at resolutions of 16×16, 32×32, and 48×48 pixels, but enlarged to 1024×1024 using the nearest neighbor method.
- **Trigger Words:** `mapchip`, followed by `1616`, `3232`, or `4848` to specify the desired pixel resolution
## Usage Instructions
1. **Base Model:** Ensure that SDXL v1.0 is loaded as the base model.
2. **Prompt Structure:**
- Use the following format to generate images:
```
mapchip, {1616 or 3232 or 4848}, {your prompt}, <lora:mapchipLora:strength>
```
- Replace `{your prompt}` with your desired image description.
- Choose `1616`, `3232`, or `4848` based on the desired pixel resolution.
- For example:
```
mapchip, 3232, forest landscape, <lora:mapchipLora:0.7>
```
3. **LoRA Strength:**
- Set the LoRA strength between `0.7` and `0.75` for optimal results.
- Increasing the strength enhances pixel accuracy but may reduce prompt influence.
4. **Image Resolution:**
- Generate images at a resolution of 1024×1024 pixels.
- Use image editing software like Aseprite to downscale the image using the nearest neighbor method and adjust color counts as needed.
5. **Negative Prompts:**
- The effect of negative prompts is uncertain.
- Tilechip-style images can be generated effectively without them.
6. **img2img Usage:**
- Applying mapchipLora to existing texture images using img2img is also effective.
## License
This model is licensed under the Apache 2.0 License.
## Tags
- LoRA
- SDXL
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