Instructions to use SiliconNetwork/Qwen-Image-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SiliconNetwork/Qwen-Image-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SiliconNetwork/Qwen-Image-4bit", 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 tokenizer/tokenizer.json from SiliconNetwork/Qwen-Image-4bit: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/SiliconNetwork/Qwen-Image-4bit/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://SiliconNetwork/Qwen-Image-4bit/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SiliconNetwork/Qwen-Image-4bit/resolve/main/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- b10844b932aa21ab002118c672073883821b589fa31c8d8fbf485fb1393dd311
- Size of remote file:
- 11.4 MB
- SHA256:
- 444a80c37c7f34f485c050cf374595a0cb7d88735459cf0505fd204453c33178
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