Instructions to use lauluCas/sculpture_echo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lauluCas/sculpture_echo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lauluCas/sculpture_echo", 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 diffusion_pytorch_model.bin from lauluCas/sculpture_echo: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/lauluCas/sculpture_echo/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lauluCas/sculpture_echo/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lauluCas/sculpture_echo/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- b4a435b82acfefb01fbcf27526e9bc2d32522b012851e4aa2e4b923b08314d72
- Size of remote file:
- 74.3 MB
- SHA256:
- e7d14c47699b69c6fc4e01bcbb39df5ff03edba299db44a3fc1efa0299650d9a
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