Instructions to use bluestarburst/AnimateDiff-SceneFusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bluestarburst/AnimateDiff-SceneFusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bluestarburst/AnimateDiff-SceneFusion", 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
| # MStevenson's tools | |
| ## Caption GUI | |
| python scripts/image_caption_gui.py | |
| Python GUI tool to manually caption images for machine learning. | |
| A sidecar file is created for each image with the same name and a .txt extension. These are compatible with EveryDream Trainer. | |
| ### Controls: | |
| [control/command + o] to open a folder of images. | |
| [page down] and [page up] to go to next and previous images. Hold shift to skip 10 images. | |
| [shift + home] and [shift + end] to go to first and last images. | |
| [shift + delete] to move the current image into a '_deleted' folder. | |
| [escape] to exit the app. |