Instructions to use ttrishhr/Qwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ttrishhr/Qwen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nunchaku-tech/nunchaku-qwen-image-edit-2509", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ttrishhr/Qwen") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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anika_000002000.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b43e2de96664f882ce32cf9faee532dcfa7d80e5d33381143a73f25bd823966
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size 590058808
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images/ComfyUI_00087_skin match.png
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Git LFS Details
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