Instructions to use ducnapa/cyberRealistic_3_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ducnapa/cyberRealistic_3_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ducnapa/cyberRealistic_3_1", 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 vae/diffusion_pytorch_model.bin from ducnapa/cyberRealistic_3_1: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/ducnapa/cyberRealistic_3_1/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ducnapa/cyberRealistic_3_1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ducnapa/cyberRealistic_3_1/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 9b4e621040bf0b30f62bf1ce5f70d2e537b98b553d9b02b574653ed0410ae300
- Size of remote file:
- 335 MB
- SHA256:
- 68136f872e17de3efd7fe2720171f769eae871db8a8a8e35af04721dc817fcda
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