Instructions to use sofials/mlfor3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sofials/mlfor3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sofials/mlfor3d", 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 unet/diffusion_pytorch_model.safetensors from sofials/mlfor3d: direct link, hf CLI and curl.
- Browser
- Download file 1.88 GB
-
https://huggingface.co/sofials/mlfor3d/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://sofials/mlfor3d/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/sofials/mlfor3d/resolve/main/unet/diffusion_pytorch_model.safetensors
1.88 GB
- Xet hash:
- ee755c58c345d81f8ee67833028999b4b8e6c084a6586709dd8de2deb4f70ea3
- Size of remote file:
- 1.88 GB
- SHA256:
- 28d8b241a54125fa0a041c1818a5dcdb717e6f5270eea1268172acd3ab0238e0
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