Instructions to use camenduru/AnimateDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/AnimateDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/AnimateDiff", 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
thanks to guoyww ❤
Browse files- mm_sd_v14.ckpt +3 -0
- mm_sd_v15.ckpt +3 -0
mm_sd_v14.ckpt
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oid sha256:aa7fd8a200a89031edd84487e2a757c5315460eca528fa70d4b3885c399bffd5
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mm_sd_v15.ckpt
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oid sha256:cf16ea656cb16124990c8e2c70a29c793f9841f3a2223073fac8bd89ebd9b69a
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size 1672133921
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