Instructions to use nnndite/v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nnndite/v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nnndite/v1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/ComfyUI_00075_.png +3 -0
- qwen-edit_阴茎_v1.safetensors +3 -0
images/ComfyUI_00075_.png
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Git LFS Details
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qwen-edit_阴茎_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fa5637a88503d7292a33dddc85981c0481af0d69124e4fe490cb44dc549f8de
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size 590058888
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