Bump diffusers from 0.25.1 to 0.26.1 in /image_generation/lcm_dreamshaper_v7/cpp/scripts

[dependabot]

Bumps diffusers from 0.25.1 to 0.26.1.

Release notes

Sourced from diffusers's releases.

v0.26.1: Patch release to fix torchvision dependency

In the v0.26.0 release, we slipped in the torchvision library as a required library, which shouldn't have been the case. This is now fixed.

All commits

• add is_torchvision_available by @​yiyixuxu in #6800

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.

I2VGenXL

I2VGenXL is an image-to-video pipeline, proposed in I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

import torch
from diffusers import I2VGenXLPipeline
from diffusers.utils import export_to_gif, load_image
repo_id = "ali-vilab/i2vgen-xl"
pipeline = I2VGenXLPipeline.from_pretrained(repo_id, torch_dtype=torch.float16).to("cuda")
pipeline.enable_model_cpu_offload()
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)
frames = pipeline(
prompt=prompt,
image=image,
num_inference_steps=1,
negative_prompt=negative_prompt,
generator=generator,
decode_chunk_size=1
).frames
export_to_gif(frames[0], "i2v.gif")

... (truncated)

Commits

• 08e6558 Release: v0.26.1-patch
• 1547720 add is_torchvision_available (#6800)
• 674d43f fix torchvision import (#6796)
• e7a1666 Release: v0.26.0
• 04cd6ad [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)
• 56bea6b Add PIA Model/Pipeline (#6698)
• d7dc0ff Fix setting scaling factor in VAE config (#6779)
• Additional commits viewable in compare view

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.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[Wovchena]

@dependabot squash and merge