Instructions to use Qwen/Qwen-Image-Edit-2511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qwen/Qwen-Image-Edit-2511 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
Add VDEBench evaluation results
#37
by hongzhuyi - opened
- .eval_results/vdebench.yaml +18 -0
.eval_results/vdebench.yaml
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- dataset:
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id: hongzhuyi/VDEBench
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task_id: local
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value: 0.656
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source:
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url: https://huggingface.co/datasets/hongzhuyi/VDEBench/blob/18ee0824f34d41c6b91b302a38b5cf7404b53e17/results/2026-11-01/qwen_image_edit_2511/results.json
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name: VDEBench full evaluation (2026-11-01)
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user: hongzhuyi
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notes: "local setting, n=3,506, PaddleOCR-VL; IoU 0.707, CDM 0.769, BLEU-4 0.437, TEDS 0.712"
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- dataset:
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id: hongzhuyi/VDEBench
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task_id: global
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value: 0.699
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source:
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url: https://huggingface.co/datasets/hongzhuyi/VDEBench/blob/18ee0824f34d41c6b91b302a38b5cf7404b53e17/results/2026-11-01/qwen_image_edit_2511/results.json
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name: VDEBench full evaluation (2026-11-01)
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user: hongzhuyi
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notes: "global setting, n=3,506, PaddleOCR-VL; IoU 0.835, CDM 0.821, BLEU-4 0.406, TEDS 0.735"
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