Instructions to use TencentARC/InstantMesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/InstantMesh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/InstantMesh", 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 instant_mesh_large.ckpt from TencentARC/InstantMesh: direct link, hf CLI and curl.
- Browser
- Download file 1.51 GB
-
https://huggingface.co/TencentARC/InstantMesh/resolve/refs%2Fpr%2F18/instant_mesh_large.ckpt
- Command line
-
hf download hf://TencentARC/InstantMesh@refs/pr/18/instant_mesh_large.ckpt
-
curl -L -o instant_mesh_large.ckpt https://huggingface.co/TencentARC/InstantMesh/resolve/refs%2Fpr%2F18/instant_mesh_large.ckpt
1.51 GB
- Xet hash:
- 4256e7cb79bb621e782a6b3535b12ba3edff664a3571e0befaf1c86a8805c54e
- Size of remote file:
- 1.51 GB
- SHA256:
- 329f7aae9b583fd7c1b27d0221463db7b808a03c48a1f7aa26649af6a03b91a1
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