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
| # this is the huggingface inference script for the animation pipeline | |
| # it takes in a text prompt and generates an animation based on the text | |
| import os | |
| import sys | |
| import json | |
| import torch | |
| import argparse | |
| import numpy as np | |
| from PIL import Image | |
| from tqdm import tqdm | |
| import torch.nn.functional as F | |
| from torch.utils.data import DataLoader | |
| from torchvision import transforms | |
| from torchvision.utils import save_image | |