Bump diffusers from 0.27.2 to 0.29.2

[dependabot]

Bumps diffusers from 0.27.2 to 0.29.2.

Release notes

Sourced from diffusers's releases.

v0.29.2: fix deprecation and LoRA bugs 🐞

All commits

• [SD3] Fix mis-matched shape when num_images_per_prompt > 1 using without T5 (text_encoder_3=None) by @​Dalanke in #8558
• [LoRA] refactor lora conversion utility. by @​sayakpaul in #8295
• [LoRA] fix conversion utility so that lora dora loads correctly by @​sayakpaul in #8688
• [Chore] remove deprecation from transformer2d regarding the output class. by @​sayakpaul in #8698
• [LoRA] fix vanilla fine-tuned lora loading. by @​sayakpaul in #8691
• Release: v0.29.2 by @​sayakpaul (direct commit on v0.29.2-patch)

v0.29.1: SD3 ControlNet, Expanded SD3 from_single_file support, Using long Prompts with T5 Text Encoder & Bug fixes

SD3 CntrolNet

import torch
from diffusers import StableDiffusion3ControlNetPipeline
from diffusers.models import SD3ControlNetModel, SD3MultiControlNetModel
from diffusers.utils import load_image
controlnet = SD3ControlNetModel.from_pretrained("InstantX/SD3-Controlnet-Canny", torch_dtype=torch.float16)
pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-3-medium-diffusers", controlnet=controlnet, torch_dtype=torch.float16
)
pipe.to("cuda")
control_image = load_image("https://huggingface.co/InstantX/SD3-Controlnet-Canny/resolve/main/canny.jpg")
prompt = "A girl holding a sign that says InstantX"
image = pipe(prompt, control_image=control_image, controlnet_conditioning_scale=0.7).images[0]
image.save("sd3.png")

📜 Refer to the official docs here to learn more about it.

Thanks to @​haofanwang @​wangqixun from the @​ResearcherXman team for contributing this pipeline!

Expanded single file support

We now support all available single-file checkpoints for sd3 in diffusers! To load the single file checkpoint with t5

import torch
from diffusers import StableDiffusion3Pipeline
pipe = StableDiffusion3Pipeline.from_single_file(
"https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/sd3_medium_incl_clips_t5xxlfp8.safetensors",
torch_dtype=torch.float16,
)
pipe.enable_model_cpu_offload()
image = pipe("a picture of a cat holding a sign that says hello world").images[0]
</tr></table>

... (truncated)

Commits

• c586aad Release: v0.29.2
• 1479729 [LoRA] fix vanilla fine-tuned lora loading. (#8691)
• 64b2050 [Chore] remove deprecation from transformer2d regarding the output class. (#8...
• aa2b3a3 [LoRA] fix conversion utility so that lora dora loads correctly (#8688)
• edc1c89 [LoRA] refactor lora conversion utility. (#8295)
• a0a5427 [SD3] Fix mis-matched shape when num_images_per_prompt > 1 using without T5 (...
• dc74c7e fix from_single_file for checkpoints with t5 (#8631)
• 2eafde7 Support SD3 ControlNet and Multi-ControlNet. (#8566)
• 7ec060d Fix gradient checkpointing issue for Stable Diffusion 3 (#8542)
• 828e364 [SD3 Inference] T5 Token limit (#8506)
• Additional commits viewable in compare view

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