Update app.py

app.py

@@ -18,7 +18,7 @@ warp.scheduler = DDPMScheduler.from_config(warp.scheduler.config)
 warp = warp.to("cpu")
 generator = torch.Generator(device="cpu").manual_seed(random.randint(1, 4876364))
 
-def plex(cook, one, two, three):
+def plex(cook, one, two):
     ###goof = load_image(img).resize((512, 512))
     negative_prompt = "lowres,text,bad quality,low quality,jpeg artifacts,ugly,bad hands,bad face,blurry,bad eyes,watermark,signature"
     warp_out = warp_prior(prompt=cook, height=512,width=512,negative_prompt=negative_prompt,guidance_scale=4.0, num_inference_steps=5,generator=generator)
@@ -26,6 +26,6 @@ def plex(cook, one, two, three):
     imas = warp(**warp_out, height=512, width=512, num_inference_steps=5, prompt=cook,negative_prompt=primpt,guidance_scale=0.0,output_type="pil",generator=generator).images[0]
     return imas
 
-iface = gr.Interface(fn=plex,inputs=[gr.Textbox(label="prompt"), gr.Slider(label="Text Guide",minimum=0.01,step=0.01,maximum=0.99,value=0.5), gr.Slider(label="Your Image Guide",minimum=0.01,step=0.01,maximum=0.99,value=0.5),gr.Slider(label="Generated Image Guide",minimum=0.01,step=0.01,maximum=0.99,value=0.3)], outputs=gr.Image(), title="Txt2Img Wrstchn Interp", description="Txt2Img Wrstchn Interp")
+iface = gr.Interface(fn=plex,inputs=[gr.Textbox(label="prompt"), gr.Slider(label="Inference steps",minimum=1,step=1,maximum=10,value=5), gr.Slider(label="Prior guidance scale",minimum=4.1,step=0.1,maximum=19.9,value=4.1)], outputs=gr.Image(), title="Txt2Img Wrstchn SD", description="Txt2Img Wrstchn SD")
 iface.queue(max_size=1)
 iface.launch(max_threads=1)