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
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,7 @@ tags:
|
|
| 7 |
- text-to-image
|
| 8 |
- diffusers
|
| 9 |
---
|
| 10 |
-
This model is named "Cinematic Diffusion". It has been trained using Stable Diffusion
|
| 11 |
|
| 12 |
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.
|
| 13 |
|
|
|
|
| 7 |
- text-to-image
|
| 8 |
- diffusers
|
| 9 |
---
|
| 10 |
+
This model is named "Cinematic Diffusion". It has been trained using Stable Diffusion 1.5 to generate cinematic images. To utilize it, you must include the keyword "syberart" at the beginning of your prompt.
|
| 11 |
|
| 12 |
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.
|
| 13 |
|