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View Code? Open in Web Editor NEWCLI for running AI models on Mac and Linux
License: MIT License
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SDXL refiner model support
SDXL refiner model requires an img2img pipeline:
"We also introduce a refinement model which is used to improve the visual fidelity of samples generated by SDXL using a post-hoc image-to-image technique. This refiner checkpoint can be used as a 'second-step' pipeline after having run the base checkpoint to improve image quality."
Now should the pipeline be made specifically for SDXL or for img2img in general? Wanted to discuss before submitting a PR
Code below is an example from diffusers documentation.
import torch
from diffusers import StableDiffusionXLImg2ImgPipeline
from diffusers.utils import load_image
pipe = StableDiffusionXLImg2ImgPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-refiner-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True
)
pipe = pipe.to("cuda")
url = "https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/aa_xl/000000009.png"
init_image = load_image(url).convert("RGB")
prompt = "a photo of an astronaut riding a horse on mars"
image = pipe(prompt, image=init_image).images[0]```
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