Update app.py

app.py

@@ -203,7 +203,7 @@ css = """
 with gr.Blocks(css=css) as demo:
     with gr.Row():
         with gr.Column(scale=6):
-            model = gr.Dropdown(interactive=True,value="absolutereality_v181.safetensors [3d9d4d2b]", show_label=True, label="Stable Diffusion Checkpoint", choices=prodia_client.list_models())
+            model = gr.Dropdown(interactive=True,value="childrensStories_v1ToonAnime.safetensors [2ec7b88b]", show_label=True, label="Stable Diffusion Checkpoint", choices=prodia_client.list_models())
   
         with gr.Column(scale=1):
             gr.Markdown(elem_id="powered-by-prodia", value="AUTOMATIC1111 Stable Diffusion Web UI переделано masteroko.<br>Powered by [Prodia](https://prodia.com).<br>For more features and faster generation times check out our [API Docs](https://docs.prodia.com/reference/getting-started-guide).")
@@ -212,7 +212,7 @@ with gr.Blocks(css=css) as demo:
         with gr.Tab("txt2img", id='t2i'):
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    prompt = gr.Textbox("писи попы", placeholder="Prompt", show_label=False, lines=3)
+                    prompt = gr.Textbox("nsfw", placeholder="Prompt", show_label=False, lines=3)
                     negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3, value="3d, cartoon, anime, (deformed eyes, nose, ears, nose), bad anatomy, ugly")
                 with gr.Column():
                     text_button = gr.Button("Сгенерировать", variant='primary', elem_id="generate")
@@ -222,7 +222,7 @@ with gr.Blocks(css=css) as demo:
                     with gr.Tab("Генерация"):
                         with gr.Row():
                             with gr.Column(scale=1):
-                                sampler = gr.Dropdown(value="DPM++ 2M Karras", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
+                                sampler = gr.Dropdown(value="DPM++ 2M SDE Exponential", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
                                 
                             with gr.Column(scale=1):
                                 steps = gr.Slider(label="количество обработок", minimum=1, maximum=50, value=20, step=1)
@@ -233,8 +233,8 @@ with gr.Blocks(css=css) as demo:
                                 height = gr.Slider(label="Высота", maximum=1024, value=512, step=8)
                             
                             with gr.Column(scale=1):
-                                batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
-                                batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
+                                batch_size = gr.Slider(label="Batch Size", maximum=1, value=2)
+                                batch_count = gr.Slider(label="Batch Count", maximum=1, value=2)
     
                         cfg_scale = gr.Slider(label="CFG Scale(степень фантазии ии)", minimum=1, maximum=20, value=7, step=1)
                         seed = gr.Number(label="Семя рандома", value=-1)
@@ -243,7 +243,7 @@ with gr.Blocks(css=css) as demo:
                     image_output = gr.Image(value="https://images.prodia.xyz/8ede1a7c-c0ee-4ded-987d-6ffed35fc477.png")
     
             text_button.click(txt2img, inputs=[prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height,
-                                               seed], outputs=image_output, concurrency_limit=256)
+                                               seed], outputs=image_output, concurrency_limit=1024)
         
         with gr.Tab("img2img", id='i2i'):
             with gr.Row():
@@ -260,7 +260,7 @@ with gr.Blocks(css=css) as demo:
 
                         with gr.Row():
                             with gr.Column(scale=1):
-                                i2i_sampler = gr.Dropdown(value="Euler a", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
+                                i2i_sampler = gr.Dropdown(value="EDPM++ 3M SDE Exponential", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
                                 
                             with gr.Column(scale=1):
                                 i2i_steps = gr.Slider(label="количество обработок", minimum=1, maximum=50, value=20, step=1)
@@ -275,7 +275,7 @@ with gr.Blocks(css=css) as demo:
                                 i2i_batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
     
                         i2i_cfg_scale = gr.Slider(label="CFG Scale(степень фантазии ии)", minimum=1, maximum=20, value=7, step=1)
-                        i2i_denoising = gr.Slider(label="сила изменения фото", minimum=0, maximum=1, value=0.7, step=0.05)
+                        i2i_denoising = gr.Slider(label="сила изменения фото", minimum=0, maximum=2, value=0.7, step=0.05)
                         i2i_seed = gr.Number(label="Семя рандома ", value=-1)
 
                 with gr.Column(scale=2):
@@ -283,7 +283,7 @@ with gr.Blocks(css=css) as demo:
     
             i2i_text_button.click(img2img, inputs=[i2i_image_input, i2i_denoising, i2i_prompt, i2i_negative_prompt,
                                                    model, i2i_steps, i2i_sampler, i2i_cfg_scale, i2i_width, i2i_height,
-                                                   i2i_seed], outputs=i2i_image_output, concurrency_limit=256)
+                                                   i2i_seed], outputs=i2i_image_output, concurrency_limit=1024)
         
         with gr.Tab("PNG Info"):
             def plaintext_to_html(text, classname=None):
@@ -322,6 +322,6 @@ with gr.Blocks(css=css) as demo:
             send_to_txt2img_btn.click(send_to_txt2img, inputs=[image_input], outputs=[tabs, prompt, negative_prompt,
                                                                                       steps, seed, model, sampler,
                                                                                       width, height, cfg_scale],
-                                      concurrency_limit=256)
+                                      concurrency_limit=1024)
 
-demo.queue(max_size=80, api_open=False).launch(max_threads=1024, show_api=False)
+demo.queue(max_size=80, api_open=False).launch(max_threads=4096, show_api=False)