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
| wandb/ | |
| debugs/ | |
| outputs/ | |
| samples/ | |
| __pycache__/ | |
| ossutil_output/ | |
| .ossutil_checkpoint/ | |
| data/.cache | |
| scripts/ | |
| !scripts/animate.py | |
| # *.ipynb | |
| *.safetensors | |
| *.ckpt | |
| models/* | |
| !models/StableDiffusion/ | |
| models/StableDiffusion/* | |
| !models/StableDiffusion/*.txt | |
| !models/Motion_Module/ | |
| !models/Motion_Module/*.txt | |
| models/Motion_Module/* | |
| !models/DreamBooth_LoRA/ | |
| !models/DreamBooth_LoRA/*.txt | |
| !models/MotionLoRA/ | |
| !models/MotionLoRA/*.txt | |
| unet/* |