Instructions to use suvadityamuk/Step1X-3D-Texture-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/Step1X-3D-Texture-diffusers-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("suvadityamuk/Step1X-3D-Texture-diffusers-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
Download adapter/config.json from suvadityamuk/Step1X-3D-Texture-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 237 Bytes
-
https://huggingface.co/suvadityamuk/Step1X-3D-Texture-diffusers-3d/resolve/main/adapter/config.json
- Command line
-
hf download hf://suvadityamuk/Step1X-3D-Texture-diffusers-3d/adapter/config.json
-
curl -L -o config.json https://huggingface.co/suvadityamuk/Step1X-3D-Texture-diffusers-3d/resolve/main/adapter/config.json
237 Bytes
| { | |
| "_class_name": "T2IAdapter", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "adapter_type": "full_adapter_xl", | |
| "channels": [ | |
| 320, | |
| 640, | |
| 1280, | |
| 1280 | |
| ], | |
| "downscale_factor": 16, | |
| "in_channels": 6, | |
| "num_res_blocks": 2 | |
| } | |