Instructions to use ValocheRoomates/QwenLora1000FineTune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ValocheRoomates/QwenLora1000FineTune with PEFT:
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- Inference
- Notebooks
- Google Colab
- Kaggle
Qwen-Image-Edit-2511 LoRA (v4, 1000 steps)
Style LoRA for Qwen/Qwen-Image-Edit-2511: selfie → pop-character profile picture (flat grey background).
This is checkpoint-1-1000 from the v4 run (2,011 QA-valid touching_bottom pairs). Rank 16, lora_alpha 16, targets to_k / to_q / to_v / to_out.0.
The later 4500-step overshoot checkpoint is not in this repo (that file was not retained). Quality on this recipe was already largely flat after ~2000 steps; 1000 is an earlier, still-usable snapshot.
Files
pytorch_lora_weights.safetensors— standard PEFT/diffusers filenamecheckpoint-1-1000_pytorch_lora_weights.safetensors— same weights, original training nameavatar_lora_v4_qa2011_touchingbottom.yaml— training config
Load
# PEFT / diffusers-style: point pretrained_weight / load_lora_adapter at
# pytorch_lora_weights.safetensors in this repo.
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Model tree for ValocheRoomates/QwenLora1000FineTune
Base model
Qwen/Qwen-Image-Edit-2511