esize((512, 512))], rows=1, cols=2) 
</hfoption>
<hfoption id="Kandinsky 3">

	  Copied image = pipeline(prompt, negative_prompt=negative_prompt, image=image, strength=0.75, num_inference_steps=25).images[0]
image
</hfoption>
</hfoptions>
🤗 Diffusers also provides an end-to-end API with the KandinskyImg2ImgCombinedPipeline and KandinskyV22Img2ImgCombinedPipeline, meaning you don’t have to separately load the prior and image-to-image pipeline. T