Instructions to use Basunat/Cinematic-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Basunat/Cinematic-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Basunat/Cinematic-Diffusion", 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
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README.md
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This model performs best in the 16:9 aspect ratio, although it can also produce good results in a square format. It is well-suited for creating 'screengrabs' of movies from a variety of genres including historical, sci-fi, fantasy, spy, horror, western, mystery, comedy, superhero, anime, and more. It can also be used for creating realistic portraits, landscapes, and other types of images.
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For optimal results, it is recommended to use the default settings on Automatic 1111.
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Sample images
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This model performs best in the 16:9 aspect ratio, although it can also produce good results in a square format. It is well-suited for creating 'screengrabs' of movies from a variety of genres including historical, sci-fi, fantasy, spy, horror, western, mystery, comedy, superhero, anime, and more. It can also be used for creating realistic portraits, landscapes, and other types of images.
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For optimal results, it is recommended to use the default settings on Automatic 1111. It works on SD 1.5 and regular SD 2.1 512px
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Sample images
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