Instructions to use misri/CyberRealisticPony_V65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/CyberRealisticPony_V65 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_V65", 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:
- cdf430d5922f0ce8b08dd1d7fb1092ebc82ae2c14a45b351185d1883582ff9fb
- Size of remote file:
- 167 MB
- SHA256:
- 1ef43bf3753373c11558c307272af1e3589d8389dbd56983adc0dfc9eb0b37ec
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