Instructions to use scenario-labs/CyberRealistic_V4.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use scenario-labs/CyberRealistic_V4.2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("scenario-labs/CyberRealistic_V4.2", 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:
- 0c5b4d8d3bedca4498cae3481732994045ee4f25e48d2ae580a5ad3814ed3069
- Size of remote file:
- 4.27 GB
- SHA256:
- 93ed864a2245c0ec0338fd4681595ba5fa7c397764798de8ef0a9bdbc4946216
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