Instructions to use misri/CyberRealisticPony_V63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/CyberRealisticPony_V63 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/CyberRealisticPony_V63", 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
- Xet hash:
- 847f0c2393cc35f02db2edb7a00df2bfd313dfde80b9c6986c8aab4f103551b9
- Size of remote file:
- 167 MB
- SHA256:
- 4cd7956420acd6b161090aaa7fbd1acbf3b7dfe75b448eda5e5df8919119f400
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