Instructions to use layerdifforg/seethroughv0.0.2_layerdiff3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use layerdifforg/seethroughv0.0.2_layerdiff3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("layerdifforg/seethroughv0.0.2_layerdiff3d", 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:
- 53a5816c47c99ef56e2db47ecf716923bb582ab04ca94baef57a2ada906736c5
- Size of remote file:
- 246 MB
- SHA256:
- e4c36502d1f3fca20e6a8db3af2ab8213bb59178a5ff77aab086f0992cd0237d
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