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--- |
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license: agpl-3.0 |
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language: |
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- zh |
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- en |
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base_model: |
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- Qwen/Qwen-Image-Edit-2509 |
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pipeline_tag: image-to-image |
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library_name: diffusers |
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tags: |
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- lora |
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- Qwen-Image-Edit |
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- pandora |
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- img-to-img |
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--- |
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This is a lora from Qwen-Image-Edit-2509. |
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Like Pandora, it's part of a series. |
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However, it uses significantly fewer images than Pandora, which used over 6,000 images, including 5,000 low-quality and 1,000 high-quality images. |
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It still employs a two-stage training method: coarse training and fine training. Coarse training used 233 images of slightly lower quality in terms of clarity and artistic appeal, with a total file size of 592.4 MB including the final image and reference images. |
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Fine training used 141 images, with a total file size of 1.8 GB including the final image and reference images. These images are of high quality in terms of artistic appeal, resolution, and clarity, possessing studio-level image quality. |
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When building the dataset, some reference images were generated using AI, and some prompts were manually edited. |
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Checkpoints: Coarse training had three checkpoints: epochs 1, 2, and 3. |
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Fine training had four checkpoints: epochs 0, 1, 2, and 3. |
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The coarse training repeated each sample 6 times, and the fine-tuning repeated each sample 10 times, meaning approximately 1,000 steps per epoch. |
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Each checkpoint is 900MB, and I don't think uploading them all to HF is a good idea. |
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It's difficult to determine which checkpoint is best. The coarse training checkpoints generate lower quality images, but the images in the dataset are more diverse, preventing overfitting to any particular image. |
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The fine-tuning checkpoints are good in terms of image quality and artistic appeal, but they overfit the dataset, making each image in the dataset similar. |
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Therefore, I uploaded the last checkpoint. |
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During inference, using Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors to reduce steps and speed up inference, and using eigen-banana-qwen-image-edit-2509-fp16-lora.safetensors to adjust aesthetics, is a good idea. |
