Instructions to use halk1/seethroughv0.0.2_layerdiff3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use halk1/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("halk1/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:
- 21f062681b949c86d815d635ca0b1acf99a800832a4d261f757fe173d3067766
- Size of remote file:
- 211 MB
- SHA256:
- 925ffed4df7b2f57dbb549ac1ef374a26a1ead8d247eaf054dab641f82a8e0b7
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