Instructions to use stablediffusionapi/3d-disney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/3d-disney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/3d-disney", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from stablediffusionapi/3d-disney: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/stablediffusionapi/3d-disney/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/3d-disney/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/3d-disney/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c3b9ff24114aee32fde010f6351ec2b065b112e78436e2d398ff16c99c3a34de
- Size of remote file:
- 492 MB
- SHA256:
- 5673d02fdf18c127ff51c1562d2aafa986cb7332500e404b8afbd03908ab1654
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