Upload app.py

app.py

@@ -76,38 +76,39 @@ It saves you the trouble of typing them in.<br>
             """
     )
     with gr.Column():
-        dl_url = gr.Textbox(label="URL to download", placeholder="https://huggingface.co/bluepen5805/blue_pencil-XL/blob/main/blue_pencil-XL-v7.0.0.safetensors", value="", max_lines=1)
-        with gr.Row():
-            hf_user = gr.Textbox(label="Your HF user ID", placeholder="username", value="", max_lines=1)
-            hf_repo = gr.Textbox(label="New repo name", placeholder="reponame", info="If empty, auto-complete", value="", max_lines=1)
-        with gr.Row():
-            hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
-            civitai_key = gr.Textbox(label="Your Civitai API Key (Optional)", info="If you download model from Civitai...", placeholder="", value="", max_lines=1)
-        with gr.Row():
-            is_upload_sf = gr.Checkbox(label="Upload single safetensors file into new repo", value=False)
-            is_private = gr.Checkbox(label="Create private repo", value=True)
-        presets = gr.Radio(label="Presets", choices=list(preset_dict.keys()), value="Default")
-        with gr.Accordion("Advanced settings", open=False):
-            is_half = gr.Checkbox(label="Half precision", value=True)
+        with gr.Group():
+            dl_url = gr.Textbox(label="URL to download", placeholder="https://huggingface.co/bluepen5805/blue_pencil-XL/blob/main/blue_pencil-XL-v7.0.0.safetensors", value="", max_lines=1)
             with gr.Row():
-                vae = gr.Dropdown(label="VAE", choices=vaes, value="", allow_custom_value=True)
-                scheduler = gr.Dropdown(label="Scheduler (Sampler)", choices=schedulers, value="Euler a")
+                hf_user = gr.Textbox(label="Your HF user ID", placeholder="username", value="", max_lines=1)
+                hf_repo = gr.Textbox(label="New repo name", placeholder="reponame", info="If empty, auto-complete", value="", max_lines=1)
             with gr.Row():
-                with gr.Column():
-                    lora1 = gr.Dropdown(label="LoRA1", choices=loras, value="", allow_custom_value=True, min_width=320)
-                    lora1s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA1 weight scale")
-                with gr.Column():
-                    lora2 = gr.Dropdown(label="LoRA2", choices=loras, value="", allow_custom_value=True, min_width=320)
-                    lora2s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA2 weight scale")
-                with gr.Column():
-                    lora3 = gr.Dropdown(label="LoRA3", choices=loras, value="", allow_custom_value=True, min_width=320)
-                    lora3s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA3 weight scale")
-                with gr.Column():
-                    lora4 = gr.Dropdown(label="LoRA4", choices=loras, value="", allow_custom_value=True, min_width=320)
-                    lora4s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA4 weight scale")
-                with gr.Column():
-                    lora5 = gr.Dropdown(label="LoRA5", choices=loras, value="", allow_custom_value=True, min_width=320)
-                    lora5s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA5 weight scale")
+                hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
+                civitai_key = gr.Textbox(label="Your Civitai API Key (Optional)", info="If you download model from Civitai...", placeholder="", value="", max_lines=1)
+            with gr.Row():
+                is_upload_sf = gr.Checkbox(label="Upload single safetensors file into new repo", value=False)
+                is_private = gr.Checkbox(label="Create private repo", value=True)
+            presets = gr.Radio(label="Presets", choices=list(preset_dict.keys()), value="Default")
+            with gr.Accordion("Advanced settings", open=False):
+                is_half = gr.Checkbox(label="Half precision", value=True)
+                with gr.Row():
+                    vae = gr.Dropdown(label="VAE", choices=vaes, value="", allow_custom_value=True)
+                    scheduler = gr.Dropdown(label="Scheduler (Sampler)", choices=schedulers, value="Euler a")
+                with gr.Row():
+                    with gr.Column():
+                        lora1 = gr.Dropdown(label="LoRA1", choices=loras, value="", allow_custom_value=True, min_width=320)
+                        lora1s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA1 weight scale")
+                    with gr.Column():
+                        lora2 = gr.Dropdown(label="LoRA2", choices=loras, value="", allow_custom_value=True, min_width=320)
+                        lora2s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA2 weight scale")
+                    with gr.Column():
+                        lora3 = gr.Dropdown(label="LoRA3", choices=loras, value="", allow_custom_value=True, min_width=320)
+                        lora3s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA3 weight scale")
+                    with gr.Column():
+                        lora4 = gr.Dropdown(label="LoRA4", choices=loras, value="", allow_custom_value=True, min_width=320)
+                        lora4s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA4 weight scale")
+                    with gr.Column():
+                        lora5 = gr.Dropdown(label="LoRA5", choices=loras, value="", allow_custom_value=True, min_width=320)
+                        lora5s = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA5 weight scale")
         run_button = gr.Button(value="Submit")
         repo_urls = gr.CheckboxGroup(visible=False, choices=[], value=None)
         output_md = gr.Markdown(label="Output", value="<br><br>", elem_classes="result")