From 3e35f56b00d73bc3c2d3bb69615176d0909fab8a Mon Sep 17 00:00:00 2001 From: Parag Ekbote Date: Mon, 3 Feb 2025 23:24:00 +0530 Subject: [PATCH] Fix Documentation about Image-to-Image Pipeline (#10704) Fix Doc Tutorial. --- docs/source/en/using-diffusers/img2img.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/en/using-diffusers/img2img.md b/docs/source/en/using-diffusers/img2img.md index 4618731830..d9902081fd 100644 --- a/docs/source/en/using-diffusers/img2img.md +++ b/docs/source/en/using-diffusers/img2img.md @@ -461,12 +461,12 @@ Chain it to an upscaler pipeline to increase the image resolution: from diffusers import StableDiffusionLatentUpscalePipeline upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained( - "stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, variant="fp16", use_safetensors=True + "stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, use_safetensors=True ) upscaler.enable_model_cpu_offload() upscaler.enable_xformers_memory_efficient_attention() -image_2 = upscaler(prompt, image=image_1, output_type="latent").images[0] +image_2 = upscaler(prompt, image=image_1).images[0] ``` Finally, chain it to a super-resolution pipeline to further enhance the resolution: