Added Support of Xlabs controlnet to FluxControlNetInpaintPipeline

[SahilCarterr]

What does this PR do?

Fixes #9733 Adds Support of Xlabs controlnet to FluxControlNetInpaintPipeline

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Who can review?

Anyone in the community is free to review the PR once the tests have passed.
@yiyixuxu

---

Example

import torch
from diffusers import FluxControlNetInpaintPipeline
from diffusers.models import FluxControlNetModel
from diffusers.utils import load_image

controlnet = FluxControlNetModel.from_pretrained(
  "Xlabs-AI/flux-controlnet-canny-diffusers",
  torch_dtype=torch.float16,
  use_safetensors=True,
)

pipe = FluxControlNetInpaintPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev", controlnet=controlnet, torch_dtype=torch.float16
)

pipe.to("cuda")

prompt = "A woman wearing a red dress with the text 'Flux' on it and cat print"

image = pipe(
    prompt,
    image=init_image,
    mask_image=mask_image,
    control_image=canny_image,
    height=960,
    width=640,
    num_inference_steps=50,
    strength=0.8,
    guidance_scale=6.5,
    controlnet_conditioning_scale=0.7,
    control_guidance_start=0.2,
    control_guidance_end=0.8,
    generator=torch.Generator(device="cuda").manual_seed(42),
).images[0]

Input Image	Mask Image	Canny Image	Output Image

[HuggingFaceDocBuilderDev]

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[yiyixuxu]

nice!