Instructions to use kp-forks/Qwen-Image-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kp-forks/Qwen-Image-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kp-forks/Qwen-Image-2.1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from kp-forks/Qwen-Image-2.1: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/kp-forks/Qwen-Image-2.1/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://kp-forks/Qwen-Image-2.1/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/kp-forks/Qwen-Image-2.1/resolve/main/vae/diffusion_pytorch_model.safetensors
1.35 GB
- Xet hash:
- f5c2a5afaff02033b4b7d73489ae6cc1e5284c3b48664200e23c38e80644ee4c
- Size of remote file:
- 1.35 GB
- SHA256:
- a07a1b7c4ee2966a1b3bdc37de9b4f983d56937e46619f709a80b6e490675417
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