feat(diffusers): sdxl_img2img, sdxl_inpaint, sd_img2img pipelines implementation

[TamirBaydasov]

What does this PR do?

Fixes # (issue)

Adds # (feature)

Before submitting

• [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• [ ] Did you read the contributor guideline?
• [ ] Did you make sure to update the documentation with your changes? E.g. record bug fixes or new features in What's New. Here are the documentation guidelines
• [ ] Did you build and run the code without any errors?
• [ ] Did you report the running environment (NPU type/MS version) and performance in the doc? (better record it for data loading, model inference, or training tasks)
• [ ] Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR.

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[TamirBaydasov]

Demo used to check image quality:

import mindspore as ms
import requests
from PIL import Image
from io import BytesIO
from mindone.diffusers import StableDiffusionXLImg2ImgPipeline

pipe = StableDiffusionXLImg2ImgPipeline.from_pretrained(
            "stabilityai/stable-diffusion-xl-base-1.0",
            mindspore_dtype=ms.float32,
            use_safetensors=True,
            )

prompt = "a portrait of a dog wearing a pearl earring"
url = "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg"

response = requests.get(url, verify=False)
image = Image.open(BytesIO(response.content)).convert("RGB")
image.thumbnail((768, 768))
ms.set_context(device_target='CPU', mode=0)
image = pipe(
            prompt=prompt,
            image=image,
            num_inference_steps=50,
            strength=0.75,
            guidance_scale=10.5
            )[0][0]

[geniuspatrick]

merge #475 #476 into this pr. keeping one pr for them is better

[TamirBaydasov]

merge #475 #476 into this pr. keeping one pr for them is better

Updated

[TamirBaydasov]

Extra question: what hardware did you test on? are both fp32 and fp16 runnable?

We use Linux CPU, Linux GPU for testing. From our tests only fp32 is runnable on both platforms. That goes for the pipelines we have implemented and those that already exist in the repository.

[geniuspatrick]

Once the ci linting is passed, we are good.

[geniuspatrick]

Please run linters with pre-commit run -a

[TamirBaydasov]

Please run linters with pre-commit run -a

Done

[geniuspatrick]

Linting is failed

[CaitinZhao]

Modify the code according to the ci