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 text_encoder/pytorch_model.bin from ducnapa/cyberRealistic_3_1: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ducnapa/cyberRealistic_3_1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ducnapa/cyberRealistic_3_1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ducnapa/cyberRealistic_3_1/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c4ed32121e87e35374b5bfa136bf31b09913096a5d80f63593aba1104792e7f2
- Size of remote file:
- 492 MB
- SHA256:
- c4cc18312db7db7d3147ca87929089f8bd332eacf0786416493e7f0a5f173134
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