Instructions to use VAST-AI/MIDI-3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VAST-AI/MIDI-3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VAST-AI/MIDI-3D", 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
- Xet hash:
- de2900e4244b4cb4e6e1bc299cb3aa951447d241b6290c6b4cc58205bfc73fd9
- Size of remote file:
- 485 MB
- SHA256:
- 826352fb8e5dd13d190cbb679c790f6caf7ed4048c949c00e326cb203e30e56d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.