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
Download trans_vae/diffusion_pytorch_model.safetensors from layerdifforg/seethroughv0.0.1_layerdiff3d: direct link, hf CLI and curl.
- Browser
- Download file 421 MB
-
https://huggingface.co/layerdifforg/seethroughv0.0.1_layerdiff3d/resolve/main/trans_vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://layerdifforg/seethroughv0.0.1_layerdiff3d/trans_vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/layerdifforg/seethroughv0.0.1_layerdiff3d/resolve/main/trans_vae/diffusion_pytorch_model.safetensors
421 MB
- Xet hash:
- 8e6ae85636e8beb49db76cd26c9c47f9796b41b63a066090e4939126b52e0582
- Size of remote file:
- 421 MB
- SHA256:
- 0e4a29368a6e188716240c7588037fb3733978a06b517a1ecd1d01a74946362c
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