Instructions to use DhruvDecoder/model_3d_diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DhruvDecoder/model_3d_diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DhruvDecoder/model_3d_diffuser", 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
| import torch | |
| import kiui | |
| from mvdream.pipeline_mvdream import MVDreamStableDiffusionPipeline | |
| pipe = MVDreamStableDiffusionPipeline.from_pretrained('./weights', torch_dtype=torch.float16) | |
| pipe = pipe.to("cuda") | |
| prompt = "a photo of an astronaut riding a horse on mars" | |
| image = pipe(prompt) | |
| kiui.vis.plot_image(image) |