Add missing ControlNet variants for SD3 (Resolves #10817)

[puhuk]

What does this PR do?

Fixes #10817
Updated auto_pipeline.py to properly register and load ControlNet variants for SD3 models.

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@yiyixuxu @asomoza @hlky

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[puhuk]

I ran the test in my local environment, and it passed. Could I be missing something?

[yiyixuxu]

Thanks for the PR!

we need to make sure we can use AutoPipeline for sd3 controlnet
i.e. something like this, and also the from_pipe use case!

can you test them?

import torch
from diffusers import AutoPipelineForText2Image
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 = AutoPipelineForText2Image.from_pretrained(
    "stabilityai/stable-diffusion-3-medium-diffusers", controlnet=controlnet, torch_dtype=torch.float16
)
pipe.to("cuda")

control_image = load_image(
    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png"
)
prompt = "A bird in space"
image = pipe(
    prompt, control_image=control_image, height=1024, width=768, controlnet_conditioning_scale=0.7
).images[0]
image.save("sd3.png")

[puhuk]

@yiyixuxu It works :)

[hlky]

Thanks @puhuk

@yiyixuxu 408c110 d656a22 uncaught previously, affected check_torch_dependencies

[yiyixuxu]

hi @puhuk thanks for the PR, not sure why it was closed
just want to let you know @hlky made you an author in #10888 and we merged in that PR. hope it is ok