Instructions to use gqk/Step1X-3D-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gqk/Step1X-3D-fork with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gqk/Step1X-3D-fork", 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
Step1X-3D-fork / Step1X-3D-Geometry-Label-1300m /visual_encoder /diffusion_pytorch_model.safetensors
- Xet hash:
- 135e3e54484b9cb09fc02b1115df6a0e7ac5da55f67c199d8dca1b9507426d32
- Size of remote file:
- 2.93 GB
- SHA256:
- f9b22f50296f1f63841c92a724c732bffee8051b59e830e9eac9a99af8d0e65e
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