v0.26.0: New video pipelines, single-file checkpoint revamp, multi IP-Adapter inference with multiple images
This new release comes with two new video pipelines, a more unified and consistent experience for single-file checkpoint loading, support for multiple IP-Adapters’ inference with multiple reference images, and more.
image_url = "https://huggingface.co/datasets/diffusers/docs-images/resolve/main/i2vgen_xl_images/img_0001.jpg"
image = load_image(image_url).convert("RGB")
prompt = "A green frog floats on the surface of the water on green lotus leaves, with several pink lotus flowers, in a Chinese painting style."
negative_prompt = "Distorted, discontinuous, Ugly, blurry, low resolution, motionless, static, disfigured, disconnected limbs, Ugly faces, incomplete arms"
generator = torch.manual_seed(8888)
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Bumps diffusers from 0.25.0 to 0.26.2.
Release notes
Sourced from diffusers's releases.
... (truncated)
Commits
7d52558
Release: v0.26.2-patch3efe355
addself.use_ada_layer_norm_*
params back toBasicTransformerBlock
(#6841)08e6558
Release: v0.26.1-patch1547720
add is_torchvision_available (#6800)674d43f
fix torchvision import (#6796)e7a1666
Release: v0.26.004cd6ad
[Feat] add I2VGenXL for image-to-video generation (#6665)66722db
[sdxl k-diffusion pipeline]move sigma to device (#6757)2e8d18e
[IP-Adapter] Support multiple IP-Adapters (#6573)03373de
[docs] Add missing parameter (#6775)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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