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 model_index.json from suvadityamuk/Step1X-3D-Texture-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 699 Bytes
-
https://huggingface.co/suvadityamuk/Step1X-3D-Texture-diffusers-3d/resolve/main/model_index.json
- Command line
-
hf download hf://suvadityamuk/Step1X-3D-Texture-diffusers-3d/model_index.json
-
curl -L -o model_index.json https://huggingface.co/suvadityamuk/Step1X-3D-Texture-diffusers-3d/resolve/main/model_index.json
699 Bytes
| { | |
| "_class_name": "Step1X3DMeshTexturePipeline", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "adapter": [ | |
| "diffusers", | |
| "T2IAdapter" | |
| ], | |
| "mv_adapter": [ | |
| "diffusers_3d.families.step1x3d.texture_attention", | |
| "Step1X3DMultiViewAdapter" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "DDPMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "text_encoder_2": [ | |
| "transformers", | |
| "CLIPTextModelWithProjection" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "tokenizer_2": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |