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app.py

@@ -20,8 +20,7 @@ pipe = pipeline(
 )
 
 YOUR_TOKEN="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"
-image_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=YOUR_TOKEN)
-image_pipe.to("cpu")
+image_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", use_auth_token=YOUR_TOKEN)
 
 translator = pipeline("translation", model="Helsinki-NLP/opus-mt-it-en")
 
@@ -44,8 +43,6 @@ def transcribe(microphone, file_upload):
     translate = translate[0]["translation_text"]
 
     image = image_pipe(translate)["sample"][0]
-    #output = diffuser_pipeline(translate)
-    #image = output.images[0]
 
     return warn_output + text, translate, image