Instructions to use Manojb/stable-zero123-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Manojb/stable-zero123-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Manojb/stable-zero123-diffusers", 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 image_encoder/model.safetensors from Manojb/stable-zero123-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 608 MB
-
https://huggingface.co/Manojb/stable-zero123-diffusers/resolve/main/image_encoder/model.safetensors
- Command line
-
hf download hf://Manojb/stable-zero123-diffusers/image_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Manojb/stable-zero123-diffusers/resolve/main/image_encoder/model.safetensors
608 MB
- Xet hash:
- 111af947c253ab1da7bac405e001e8f7bc6a8ab52ce4a8a496b4c21940b7a109
- Size of remote file:
- 608 MB
- SHA256:
- 0dd0c1777bb75e2e9b7aa29b799b3ee8ebaaaa731e2c471a9ec589f12542cce7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.