Instructions to use simdi/cyberrealistic_arible with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use simdi/cyberrealistic_arible with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("simdi/cyberrealistic_arible", 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 simdi/cyberrealistic_arible: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/simdi/cyberrealistic_arible/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://simdi/cyberrealistic_arible/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/simdi/cyberrealistic_arible/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- e9ea25924ded6516b438c99af2fc258b7de216e9c96349d9d4b9de9a86113510
- Size of remote file:
- 335 MB
- SHA256:
- 35033f0a38a6bf188cf5348134342538c720c646565d33d05064d9f815cb2841
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