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Running
on
Zero
| ## Step by ste instruction | |
| - **Use jpg format**, upload a minimum 1 image to "Input Images". | |
| - Press "Generate LoRA". | |
| - After a moment, your LoRA will be ready to download. | |
| - Press "Generate image" to use LoRA above. | |
| The generated image will have similar style as the sample images you uploaded. | |
| If you're using Python, you can use the LoRA above to generate an image using instructions from DiffSynth-Studio (link below). | |
| **And if you're happy with the result, please support me by pressing the like button 😄** | |
| ## For ComfyUI | |
| - Download the generated LoRA. | |
| - Use this sample workflow: <https://files.catbox.moe/4c6w5f.json> | |
| - Replace the lightning LoRA with the LoRA you've been downloaded before. | |
| Credit to *u/GBJI* from Reddit for the workflow. | |
| ## Question and Answer | |
| **What is a lora?** | |
| A LoRA (Low-Rank Adaptation) is a small add-on for a pre-trained image generation model. It's trained on a specific set of images to teach the model a new style, character, or object without retraining the entire model. | |
| **Is it different from IP Adapter?** | |
| Yes, it is different. | |
| IP Adapters are for style transfer (making your image look like a reference image). LoRA is for fine-tuning (teaching the model new concepts or styles). | |
| **What can this app do?** | |
| This demo helps you make new pictures that look like your example pictures, using a LoRA. | |
| ## Features | |
| - Use a single image to generate LoRA (though more images are better). | |
| - You can download the LoRA you generate. | |
| - There's also an option to generate an image using the LoRA you created. | |
| ## Speed | |
| - LoRA generation takes about 20 seconds (H200 ZeroGPU). | |
| - Image generation using LoRA takes about 50 seconds (maybe something wrong here). | |
| ## References | |
| - **DiffSynth-Studio**: <https://huggingface.co/DiffSynth-Studio/Qwen-Image-i2L> | |