Instructions to use smoothieAI/smoothie_3d_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smoothieAI/smoothie_3d_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smoothieAI/smoothie_3d_v1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from smoothieAI/smoothie_3d_v1: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/smoothieAI/smoothie_3d_v1/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://smoothieAI/smoothie_3d_v1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/smoothieAI/smoothie_3d_v1/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- c94875e0b70924ee793721cc943802ca02ad57fff44398ce424e6895f7012719
- Size of remote file:
- 167 MB
- SHA256:
- f9b8190713949aaa0f08a2af3741687f0e24a5f8799f48f4b6e7a0648f391d89
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