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:
- c18cb1333645c5cd61d1db240bf9a202608b4323a8a7e2ef9ffe1b7bef0e36ac
- Size of remote file:
- 8.14 GB
- SHA256:
- 05b5cd5ee2cbd7cd9c23008b7f76918cfc8e75aa0c45e7ce4cd1c741629b8f1d
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