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Johannes Stelzer 2024-01-09 21:16:10 +01:00 committed by GitHub
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Latent blending enables video transitions with incredible smoothness between prompts, computed within seconds. Powered by [stable diffusion XL](https://stability.ai/stable-diffusion), this method involves specific mixing of intermediate latent representations to create a seamless transition – with users having the option to fully customize the transition directly in high-resolution. The new version also supports SDXL Turbo, allowing to generate transitions faster than they are typically played back!
```python
from diffusers import AutoPipelineForText2Image
from latentblending.blending_engine import BlendingEngine
from latentblending.diffusers_holder import DiffusersHolder
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16").to("cuda")
dh = DiffusersHolder(pipe)
be = BlendingEngine(dh)