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:
- 182c8fb51c9ecce9952a580f8d302642d0c84124b82c21984ae8f1b8efff33e2
- Size of remote file:
- 1.39 GB
- SHA256:
- b361da6fb93514411949c779d3abd7684e19900a6e566eaf64ea5a3697b23a21
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