Update app.py

app.py

@@ -175,7 +175,7 @@ def run(*args):
 
         # Clear GPU memory cache so less likely to OOM
         torch.cuda.empty_cache()
-        return ims, output_conds
+        return ims
 
 
 def change_visible(im1, im2, val):
@@ -191,15 +191,8 @@ def change_visible(im1, im2, val):
         outputs[im2] = gr.update(visible=True)
     return outputs
 
-
-DESCRIPTION = '# [CoAdapter (Composable Adapter)](https://github.com/TencentARC/T2I-Adapter)'
-
-DESCRIPTION += f'<p>Gradio demo for **CoAdapter**: [[GitHub]](https://github.com/TencentARC/T2I-Adapter), [[Details]](https://github.com/TencentARC/T2I-Adapter/blob/main/docs/coadapter.md). If CoAdapter is helpful, please help to ⭐ the [Github Repo](https://github.com/TencentARC/T2I-Adapter) and recommend it to your friends 😊 </p>'
-
-DESCRIPTION += f'<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/Adapter/T2I-Adapter?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
 # with gr.Blocks(title="CoAdapter", css=".gr-box {border-color: #8136e2}") as demo:
 with gr.Blocks(css='style.css') as demo:
-    gr.Markdown(DESCRIPTION)
 
     btns = []
     ims1 = []
@@ -238,10 +231,10 @@ with gr.Blocks(css='style.css') as demo:
                     cond_weights.append(cond_weight)
 
     with gr.Column():
-        prompt = gr.Textbox(label="Prompt")
-        neg_prompt = gr.Textbox(label="Negative Prompt", value=DEFAULT_NEGATIVE_PROMPT)
+        prompt = gr.Textbox(label="Prompt", visible=False)
+        neg_prompt = gr.Textbox(visible=False, label="Negative Prompt", value=DEFAULT_NEGATIVE_PROMPT)
         scale = gr.Slider(label="Guidance Scale (Classifier free guidance)", value=7.5, minimum=1, maximum=20, step=0.1)
-        n_samples = gr.Slider(label="Num samples", value=1, minimum=1, maximum=1, step=1)
+        n_samples = gr.Slider(label="Num samples", value=1, minimum=1, maximum=3, step=1)
         seed = gr.Slider(label="Seed", value=42, minimum=0, maximum=10000, step=1)
         steps = gr.Slider(label="Steps", value=50, minimum=10, maximum=100, step=1)
         resize_short_edge = gr.Slider(label="Image resolution", value=512, minimum=320, maximum=1024, step=1)
@@ -255,10 +248,10 @@ with gr.Blocks(css='style.css') as demo:
     with gr.Row():
         submit = gr.Button("Generate")
     output = gr.Gallery(rows=2, height='auto')
-    cond = gr.Gallery(rows=2, height='auto')
+    # cond = gr.Gallery(rows=2, height='auto')
 
     inps = list(chain(btns, ims1, ims2, cond_weights))
     inps.extend([prompt, neg_prompt, scale, n_samples, seed, steps, resize_short_edge, cond_tau])
-    submit.click(fn=run, inputs=inps, outputs=[output, cond])
+    submit.click(fn=run, inputs=inps, outputs=output)
 # demo.launch()
-demo.launch(debug=True, share=True)
+demo.launch(debug=True, share=True)