Update README.md

README.md

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----
-license: apache-2.0
----
+---
+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:1.0>
+     ```
+   - 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:1.0>
+     ```
+
+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