Instructions to use Runware/Qwen-Image-Layered with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/Qwen-Image-Layered with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/Qwen-Image-Layered", 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
- Xet hash:
- a3ed2bb323d0f6a20ffa47bd3f438214412dc447c991f0c9c9a4e0b6baac2ff3
- Size of remote file:
- 254 MB
- SHA256:
- 06520463778e64dca1039c7447890065ee220bc408d15412182e5c3e06f304f1
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