Instructions to use rootonchair/diffuser_layerdiffuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rootonchair/diffuser_layerdiffuse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rootonchair/diffuser_layerdiffuse", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 05fa822e1b0c028ac348f608a752ea81f2d241560691f5c50243b54b37641b7c
- Size of remote file:
- 743 MB
- SHA256:
- 2626f9aa142f260c12336af754e6003661fbd75c467ecb3906f94783cc2b1b42
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