Instructions to use riverclouds/qwen_image_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use riverclouds/qwen_image_random with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("riverclouds/qwen_image_random", 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
- Xet hash:
- 1cfb48657bcb893916ce3613ed230677be1bf83e475409509612aa4b3698f146
- Size of remote file:
- 2.78 GB
- SHA256:
- 7f11cbd5db840b659d79c97c8150d5fc81cc68a2be0d4953e425d1528400ce82
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