Image-Text-to-Image
Diffusers
Safetensors
QwenImageEditPlusPipeline
qwen-image;
text-to-image
image-edit
causal-image-edit
Instructions to use lightx2v/Qwen-Image-Edit-Causal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Qwen-Image-Edit-Causal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightx2v/Qwen-Image-Edit-Causal", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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license: apache-2.0
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pipeline_tag: image-text-to-image
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tags:
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- qwen-image;
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- text-to-image
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- image-edit
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- causal-image-edit
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We employ block causal attention to improve inference speed of [Qwen-Image-Edit-2511](https://huggingface.co/Qwen/Qwen-Image-Edit-2511).
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For usage instructions, please refer to [Qwen-Image-Edit-Causal](https://github.com/ModelTC/Qwen-Image-Edit-Causal).
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