---
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