Instructions to use ChrisColeTech/TripoSG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChrisColeTech/TripoSG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChrisColeTech/TripoSG", 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
| { | |
| "_name_or_path": "briaai/RMBG-1.4", | |
| "architectures": [ | |
| "BriaRMBG" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "MyConfig.RMBGConfig", | |
| "AutoModelForImageSegmentation": "briarmbg.BriaRMBG" | |
| }, | |
| "custom_pipelines": { | |
| "image-segmentation": { | |
| "impl": "MyPipe.RMBGPipe", | |
| "pt": [ | |
| "AutoModelForImageSegmentation" | |
| ], | |
| "tf": [], | |
| "type": "image" | |
| } | |
| }, | |
| "in_ch": 3, | |
| "model_type": "SegformerForSemanticSegmentation", | |
| "out_ch": 1, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.38.0.dev0" | |
| } | |