#
Text-Guided Image-to-Image Generation

The StableDiffusionDepth2ImgPipeline lets you pass a text prompt and an initial image to condition the generation of new images as well as a `depth_map` to preserve the images’ structure. If no `depth_map` is provided, the pipeline will automatically predict the depth via an integrated depth-estimation model.

    import torch
    import requests
    from PIL import Image

    from diffusers import StableDiffusionDepth2ImgPipeline

    pipe = StableDiffusionDepth2ImgPipeline.from_pretrained(
        "stabilityai/stable-diffusion-2-depth",
        torch_dtype=torch.float16,
    ).to("cuda")

    url = "http://images.cocodataset.org/val2017/000000039769.jpg"
    init_image = Image.open(requests.get(url, stream=True).raw)
    prompt = "two tigers"
    n_prompt = "bad, deformed, ugly, bad anatomy"
    image = pipe(prompt=prompt, image=init_image, negative_prompt=n_prompt, strength=0.7).images[0]