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lightx2v
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Qwen-Image-Edit-Causal

Image-Text-to-Image
Diffusers
Safetensors
QwenImageEditPlusPipeline
qwen-image;
text-to-image
image-edit
causal-image-edit
Model card Files
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2
How to use from the
Use from the
Diffusers library
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]

We employ block causal attention to improve inference speed of Qwen-Image-Edit-2511.

For usage instructions, please refer to Qwen-Image-Edit-Causal.

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