Instructions to use suvadityamuk/idol-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/idol-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/idol-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 decoder/diffusion_pytorch_model.safetensors from suvadityamuk/idol-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 1.15 GB
-
https://huggingface.co/suvadityamuk/idol-diffusers-3d/resolve/main/decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://suvadityamuk/idol-diffusers-3d/decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/suvadityamuk/idol-diffusers-3d/resolve/main/decoder/diffusion_pytorch_model.safetensors
1.15 GB
- Xet hash:
- b510857ce18524506875e9b9ac189283f364a8c8c4aef217e31b00d9edf5eaf7
- Size of remote file:
- 1.15 GB
- SHA256:
- 34e3ce3d50dfe4f0711139570fc993e830eac69d804cb7ba04d4572290f6b143
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