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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]