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
File size: 504 Bytes
e1b0960 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"encode_camera": false,
"camera_embeds_type": "sincos",
"camera_embeds_dim": null,
"n_views": 1,
"empty_embeds_ratio": 0.1,
"normalize_embeds": false,
"zero_uncond_embeds": true,
"freeze_modulation_clip": false,
"freeze_modulation_dino": false,
"enable_gradient_checkpointing": false,
"image_size": 518,
"fuse_type": "concat",
"dino_type": "facebook/dinov2-with-registers-large",
"clip_type": "openai/clip-vit-large-patch14",
"kwargs": null
} |