update

README.md

@@ -13,4 +13,4 @@ short_description: A unified multimodal understanding and generation model.
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-Please note that after generating the images with Janus-Pro, we used Real-ESRGAN to perform 2x image upsampling. This upsampling does not alter the content of the images but makes them slightly clearer for easier viewing.
+Please note that after generating the images with Janus-Pro, we use Real-ESRGAN to perform 2x image upsampling (just in this demo). This upsampling does not alter the content of the images but makes them slightly clearer for easier viewing.

app.py

@@ -233,8 +233,8 @@ with gr.Blocks() as demo:
         cfg_weight_input = gr.Slider(minimum=1, maximum=10, value=5, step=0.5, label="CFG Weight")
         t2i_temperature = gr.Slider(minimum=0, maximum=1, value=1.0, step=0.05, label="temperature")
 
-    prompt_input = gr.Textbox(label="Prompt. ([1] Prompt in more detail can help produce better images! [2] Based on local tests, if the GPU is idle, a 40GB A100 can generate a batch of 5 images in ~25 seconds.)")
-    seed_input = gr.Number(label="Seed (Optional)", precision=0, value=12345)
+    prompt_input = gr.Textbox(label="Prompt. (Prompt in more detail can help produce better images!")
+    seed_input = gr.Number(label="Seed (Optional)", precision=0, value=1234)
 
     generation_button = gr.Button("Generate Images")