feat(diffusers/pipelines): add `StableDiffusion3Img2ImgPipeline`

[townwish4git]

What does this PR do?

Add StableDiffusion3Img2ImgPipeline

Give it a quick try as:

import mindspore

from mindone.diffusers import StableDiffusion3Img2ImgPipeline
from mindone.diffusers.utils import load_image

model_id_or_path = "stabilityai/stable-diffusion-3-medium-diffusers"
pipe = StableDiffusion3Img2ImgPipeline.from_pretrained(model_id_or_path, mindspore_dtype=mindspore.float16)

url = "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"
init_image = load_image(url).resize((512, 512))

prompt = "cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k"

images = pipe(prompt=prompt, image=init_image, strength=0.95, guidance_scale=7.5)[0][0]

then you will get a pic like:

idk what's the connection between init_image and output images, but the result does align with 🧨diffusers if random factors are controlled manully.

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.

@xxx