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.