Bump diffusers from 0.21.3 to 0.25.0

[dependabot[bot]]

Bumps diffusers from 0.21.3 to 0.25.0.

Release notes

Sourced from diffusers's releases.

v0.25.0: aMUSEd, 3x faster SDXL, interruptable pipelines

aMUSEd

aMUSEd is a lightweight text to image model based off of the MUSE architecture. aMUSEd is particularly useful in applications that require a lightweight and fast model, such as generating many images quickly at once. aMUSEd is currently a research release.

aMUSEd is a VQVAE token-based transformer that can generate an image in fewer forward passes than many diffusion models. In contrast with MUSE, it uses the smaller text encoder CLIP-L/14 instead of T5-XXL. Due to its small parameter count and few forward pass generation process, amused can generate many images quickly. This benefit is seen particularly at larger batch sizes.

Text-to-image generation

import torch
from diffusers import AmusedPipeline
pipe = AmusedPipeline.from_pretrained(
"amused/amused-512", variant="fp16", torch_dtype=torch.float16
)
pipe.vqvae.to(torch.float32)  # vqvae is producing nans in fp16
pipe = pipe.to("cuda")
prompt = "cowboy"
image = pipe(prompt, generator=torch.manual_seed(8)).images[0]
image.save("text2image_512.png")

Image-to-image generation

import torch
from diffusers import AmusedImg2ImgPipeline
from diffusers.utils import load_image
pipe = AmusedImg2ImgPipeline.from_pretrained(
"amused/amused-512", variant="fp16", torch_dtype=torch.float16
)
pipe.vqvae.to(torch.float32)  # vqvae is producing nans in fp16
pipe = pipe.to("cuda")
prompt = "apple watercolor"
input_image = (
load_image(
"https://raw.githubusercontent.com/huggingface/amused/main/assets/image2image_256_orig.png"
)
.resize((512, 512))
.convert("RGB")
)
image = pipe(prompt, input_image, strength=0.7, generator=torch.manual_seed(3)).images[0]
image.save("image2image_512.png")
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Commits

• 7f551e2 Release: v0.25.0
• 645a62b Add PEFT to advanced training script (#6294)
• 6414d4e Fix chunking in SVD (#6350)
• 43672b4 Fix "push_to_hub only create repo in consistency model lora SDXL training scr...
• 9df3d84 Fix LCM distillation bug when creating the guidance scale embeddings using mu...
• c751449 fix: use retrieve_latents (#6337)
• c1e8bdf Move ControlNetXS into Community Folder (#6316)
• 78b87dc [LoRA] make LoRAs trained with peft loadable when peft isn't installed (#...
• 0af12f1 amused update links to new repo (#6344)
• 6e12368 Remove unused parameters and fixed FutureWarning (#6317)
• Additional commits viewable in compare view

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