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 unet/diffusion_pytorch_model.safetensors from layerdifforg/seethroughv0.0.1_layerdiff3d: direct link, hf CLI and curl.
- Browser
- Download file 8.12 GB
-
https://huggingface.co/layerdifforg/seethroughv0.0.1_layerdiff3d/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://layerdifforg/seethroughv0.0.1_layerdiff3d/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/layerdifforg/seethroughv0.0.1_layerdiff3d/resolve/main/unet/diffusion_pytorch_model.safetensors
8.12 GB
- Xet hash:
- 9d2d6a68ee43d28e9580c15b6909ed623d486edc4bc7a4c4a1d268d210d80b00
- Size of remote file:
- 8.12 GB
- SHA256:
- baed3e59a47fb9e1ec7a709c89ead93685a79473b0588e4fd804604d62f06355
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