Instructions to use MoveScores18/CyberRealisticV3-FP32-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MoveScores18/CyberRealisticV3-FP32-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MoveScores18/CyberRealisticV3-FP32-Diffusers", torch_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:
- c8602feb3a819732ec997980ed846356a64888b49e12e60fe7a93f2844eda442
- Size of remote file:
- 335 MB
- SHA256:
- e9fa5cad7bf7cd0d05c45c708ca9d7650f7c973954eaa838ee090df4d9290c27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.