Instructions to use Mithun12345/Envidox_3d_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mithun12345/Envidox_3d_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mithun12345/Envidox_3d_Model", 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
- Xet hash:
- 4256e7cb79bb621e782a6b3535b12ba3edff664a3571e0befaf1c86a8805c54e
- Size of remote file:
- 1.51 GB
- SHA256:
- 329f7aae9b583fd7c1b27d0221463db7b808a03c48a1f7aa26649af6a03b91a1
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