Model card
Qwen Image Edit 2511 GGUF is a specialized image-to-image model optimized for local deployment via the GGUF format. Unlike general-purpose diffusion models, this version focuses on precise image manipulation and editing tasks, allowing developers to modify visual content based on textual instructions while maintaining structural consistency. By leveraging GGUF quantization, it significantly lowers the VRAM barrier, making it viable for integration into edge applications or developer workstations without requiring enterprise-grade GPUs. It is particularly useful for building automated design tools, iterative asset refinement pipelines, and AI-driven photo editing software where low latency and local privacy are priorities.
Model files and versions
Download this model
We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
unsloth/Qwen-Image-Edit-2511-GGUFInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model unsloth/Qwen-Image-Edit-2511-GGUFREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model unsloth/Qwen-Image-Edit-2511-GGUF README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('unsloth/Qwen-Image-Edit-2511-GGUF')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/unsloth/Qwen-Image-Edit-2511-GGUF.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/unsloth/Qwen-Image-Edit-2511-GGUF.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
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