add image to image transform api

app.py

@@ -1,3 +1,23 @@
+import os
 import gradio as gr
+import torch
 
-gr.Interface.load("models/runwayml/stable-diffusion-v1-5").launch()
+from diffusers import StableDiffusionImg2ImgPipeline
+
+os.environ['GRADIO_THEME'] = 'default'
+# load the pipeline
+device = "cpu"
+model_id_or_path = "runwayml/stable-diffusion-v1-5"
+img2img_pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id_or_path, torch_dtype=torch.float32)
+img2img_pipe = img2img_pipe.to(device)
+
+
+def img2img_diff(prompt, pil_img):
+    img = pil_img.resize((768, 512))
+    return img2img_pipe(prompt=prompt, image=img, strength=0.75, guidance_scale=7.5).images[0]
+
+
+app = gr.Interface(fn=img2img_diff, inputs=[gr.Text(label="prompt text"), gr.Image(type='pil', label='draft image')],
+                   outputs=gr.Image(type='pil'))
+
+app.launch(debug=True)