Instructions to use GraydientPlatformAPI/realisticcc2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realisticcc2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/realisticcc2", 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:
- 9afcb4a0e679a679319e480d1066ba8a25d362d2b505eab25fc67222e70d37b0
- Size of remote file:
- 167 MB
- SHA256:
- adf8d57f13872f3db242075fdbe94a6fb222815320034e78e0537154662f5ba5
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