Instructions to use AndyMOU/Step1X-3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AndyMOU/Step1X-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("AndyMOU/Step1X-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:
- 74044dcd2c9c6013c38fa6fda1eb0bdb748e2672bdc864ee527ae36a132f6a2d
- Size of remote file:
- 148 kB
- SHA256:
- a0d5ff7b7b0c1d2420b23f76df5e33e8440f9852220d566e4dc7b96ecc31c304
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