Instructions to use layerdifforg/seethroughv0.0.1_layerdiff3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use layerdifforg/seethroughv0.0.1_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/seethroughv0.0.1_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:
- b414710f3172919956fc312578247e4fb79d29edeb9a0e5e5fc909275e81285c
- Size of remote file:
- 335 MB
- SHA256:
- 1d334bc7f8ef3768f14a7377c1dd3e0a08df0e5f41237d6633a056631e707bc5
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