Instructions to use ovedrive/Qwen-Image-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/Qwen-Image-testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovedrive/Qwen-Image-testing", 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 text_encoder/tokenizer.json from ovedrive/Qwen-Image-testing: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ovedrive/Qwen-Image-testing/resolve/main/text_encoder/tokenizer.json
- Command line
-
hf download hf://ovedrive/Qwen-Image-testing/text_encoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ovedrive/Qwen-Image-testing/resolve/main/text_encoder/tokenizer.json
11.4 MB
- Xet hash:
- c872d4a150b56748380a03b3f7c628193bbf20f588d4b1ee32ac8769f7af7d98
- Size of remote file:
- 11.4 MB
- SHA256:
- 0e9ff5e369d57eba6483d24fda0078f2f6f59f718cf93352ce17bd48c1dbbdc0
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