Instructions to use ev1e/3dmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ev1e/3dmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ev1e/3dmodel", 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 tokenizer/vocab.json from ev1e/3dmodel: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/ev1e/3dmodel/resolve/main/tokenizer/vocab.json
- Command line
-
hf download hf://ev1e/3dmodel/tokenizer/vocab.json
-
curl -L -o vocab.json https://huggingface.co/ev1e/3dmodel/resolve/main/tokenizer/vocab.json
1.11 MB
File too large to display, you can check the raw version instead.