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