Cast steps to "int" to fix error at gradio

app.py

@@ -18,7 +18,7 @@ pipe = pipe.to(device)
 # define gradio function
 def generate(prompt:str, seed:int, guidance:float, steps:int):
     generator = torch.Generator(device).manual_seed(int(seed))
-    image = pipe(prompt=prompt, generator=generator, guidance_scale=guidance, num_inference_steps=steps).images[0]
+    image = pipe(prompt=prompt, generator=generator, guidance_scale=guidance, num_inference_steps=int(steps)).images[0]
     return image
 
 if device == "cuda":

requirements.txt

@@ -3,5 +3,5 @@ scipy
 ftfy
 torch>=1.10.0
 transformers
-diffusers>=0.4.0
+diffusers==0.6.0
 gradio>=3.4