Instructions to use jzli/RealCartoon3D-v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jzli/RealCartoon3D-v11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jzli/RealCartoon3D-v11", 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 jzli/RealCartoon3D-v11: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/jzli/RealCartoon3D-v11/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://jzli/RealCartoon3D-v11/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jzli/RealCartoon3D-v11/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- ba75b8164406e6bfa2a9b26d37552711651a21a0e321cebf04a04a2f3a934fc9
- Size of remote file:
- 492 MB
- SHA256:
- ce2261d665e3eb8a921ebc9e944b0d2234a2f84431b663b1c243531e4b5c6e24
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