Instructions to use Yntec/CinematicReality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/CinematicReality with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/CinematicReality", 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:
- 8b5b1c2292e76e48f4fd35e3f377b614faae49a811cd254188551c28d1c7d794
- Size of remote file:
- 492 MB
- SHA256:
- 9893c187f5003f9e0396d3d5e6b183d9e9dceb633b09153ff8bbb83bb6063d8c
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