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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- fbe8f553531d8c12f0a0356fbe74a4bc7775d6455f57d3321b3d253326fd986d
- Size of remote file:
- 3.44 GB
- SHA256:
- f24392a390da8caa6a4310a3037deb91cc8779d3707608350a0b049f1a05129f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.