Updated app.py

app.py

@@ -46,7 +46,7 @@ stability_api = client.StabilityInference(
 # Set up our initial generation parameters.
 
 prompt ="photo of bespectacled woman, long curly blue hair, bright green eyes, freckled complexion, photorealistic, colorful, highly detailed 4k, realistic photo"
-def transform_ncuda(img,prompt,cfg=9.0,stps=30,sc=0.8):
+def transform_ncuda(img,prompt,cfg=8.0,stps=30,sc=0.8):
   answers2 = stability_api.generate(
       prompt=f"{prompt}",
       init_image=img, # Assign our previously generated img as our Initial Image for transformation.
@@ -161,7 +161,7 @@ def transform(init_image,prompt,n_prompt):
 ###################
 def transform1(img,prompt,n_prompt):
   img.save("img1.png")
-  nimage = Image.open("img1.png").convert('RGB')
+  # nimage = Image.open("img1.png").convert('RGB')
   if cuda_error1==0:
     try:
       images = pipe(prompt=prompt, image=nimage,negative_prompt=n_prompt, strength=1, guidance_scale=15).images