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_nerf_large.ckpt from TencentARC/InstantMesh: direct link, hf CLI and curl.
- Browser
- Download file 1.51 GB
-
https://huggingface.co/TencentARC/InstantMesh/resolve/cda45e8be11bedc4f0fc21725796eae9d7c009f2/instant_nerf_large.ckpt
- Command line
-
hf download hf://TencentARC/InstantMesh@cda45e8be11bedc4f0fc21725796eae9d7c009f2/instant_nerf_large.ckpt
-
curl -L -o instant_nerf_large.ckpt https://huggingface.co/TencentARC/InstantMesh/resolve/cda45e8be11bedc4f0fc21725796eae9d7c009f2/instant_nerf_large.ckpt
1.51 GB
- Xet hash:
- 4298991028b54510b9e6760cb94e3866a6930b239dbfdd9d96f3dd6c4cad5a2b
- Size of remote file:
- 1.51 GB
- SHA256:
- 530a344ea9b856e012492b9644ab73532ddf7c06d548f60c489e49a528322fb9
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