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:
- 8f34a1eb95e376a65f6fe7e03a8be36df76a4dc6f3338e779f38e9709dd5b3bc
- Size of remote file:
- 702 MB
- SHA256:
- 8018d706b8029ce42d7cf9f9f56dce85f6a1fc8fbd2907416f5beb4ca65f77fa
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