Update app.py

app.py

@@ -206,38 +206,38 @@ with gr.Blocks(css=css) as demo:
             model = gr.Dropdown(interactive=True,value="absolutereality_v181.safetensors [3d9d4d2b]", 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.<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).")
+            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).")
 
     with gr.Tabs() as tabs:
         with gr.Tab("txt2img", id='t2i'):
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    prompt = gr.Textbox("space warrior, beautiful, female, ultrarealistic, soft lighting, 8k", placeholder="Prompt", show_label=False, lines=3)
+                    prompt = gr.Textbox("писи попы", 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("Generate", variant='primary', elem_id="generate")
+                    text_button = gr.Button("Сгенерировать", variant='primary', elem_id="generate")
                     
             with gr.Row():
                 with gr.Column(scale=3):
-                    with gr.Tab("Generation"):
+                    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())
                                 
                             with gr.Column(scale=1):
-                                steps = gr.Slider(label="Sampling Steps", minimum=1, maximum=25, value=20, step=1)
+                                steps = gr.Slider(label="количество обработок", minimum=1, maximum=50, value=20, step=1)
     
                         with gr.Row():
                             with gr.Column(scale=1):
-                                width = gr.Slider(label="Width", maximum=1024, value=512, step=8)
-                                height = gr.Slider(label="Height", maximum=1024, value=512, step=8)
+                                width = gr.Slider(label="Ширина", maximum=2048, value=512, step=8)
+                                height = gr.Slider(label="Высота", maximum=2048, 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=10, value=1)
+                                batch_count = gr.Slider(label="Batch Count", maximum=10, value=1)
     
-                        cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=7, step=1)
-                        seed = gr.Number(label="Seed", value=-1)
+                        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)
 
                 with gr.Column(scale=2):
                     image_output = gr.Image(value="https://images.prodia.xyz/8ede1a7c-c0ee-4ded-987d-6ffed35fc477.png")
@@ -248,14 +248,14 @@ with gr.Blocks(css=css) as demo:
         with gr.Tab("img2img", id='i2i'):
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    i2i_prompt = gr.Textbox("space warrior, beautiful, female, ultrarealistic, soft lighting, 8k", placeholder="Prompt", show_label=False, lines=3)
+                    i2i_prompt = gr.Textbox("тута переделай фотку ", placeholder="Prompt", show_label=False, lines=3)
                     i2i_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():
-                    i2i_text_button = gr.Button("Generate", variant='primary', elem_id="generate")
+                    i2i_text_button = gr.Button("Сгенерировать", variant='primary', elem_id="generate")
                     
             with gr.Row():
                 with gr.Column(scale=3):
-                    with gr.Tab("Generation"):
+                    with gr.Tab("Генерация"):
                         i2i_image_input = gr.Image(type="pil")
 
                         with gr.Row():
@@ -263,27 +263,27 @@ with gr.Blocks(css=css) as demo:
                                 i2i_sampler = gr.Dropdown(value="Euler a", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
                                 
                             with gr.Column(scale=1):
-                                i2i_steps = gr.Slider(label="Sampling Steps", minimum=1, maximum=25, value=20, step=1)
+                                i2i_steps = gr.Slider(label="количество обработок", minimum=1, maximum=50, value=20, step=1)
 
                         with gr.Row():
                             with gr.Column(scale=1):
-                                i2i_width = gr.Slider(label="Width", maximum=1024, value=512, step=8)
-                                i2i_height = gr.Slider(label="Height", maximum=1024, value=512, step=8)
+                                i2i_width = gr.Slider(label="Ширина", maximum=2048, value=512, step=8)
+                                i2i_height = gr.Slider(label="Высота", maximum=2048, value=512, step=8)
                             
                             with gr.Column(scale=1):
-                                i2i_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
-                                i2i_batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
+                                i2i_batch_size = gr.Slider(label="Batch Size", maximum=10, value=1)
+                                i2i_batch_count = gr.Slider(label="Batch Count", maximum=10, value=1)
     
-                        i2i_cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=7, step=1)
-                        i2i_denoising = gr.Slider(label="Denoising Strength", minimum=0, maximum=1, value=0.7, step=0.1)
-                        i2i_seed = gr.Number(label="Seed", value=-1)
+                        i2i_cfg_scale = gr.Slider(label="CFG Scale(степень фантазии ии)", minimum=1, maximum=40, value=7, step=1)
+                        i2i_denoising = gr.Slider(label="сила изменения фото", minimum=-0.1, maximum=1, value=0.7, step=0.1)
+                        i2i_seed = gr.Number(label="Семя рандома ", value=-1)
 
                 with gr.Column(scale=2):
                     i2i_image_output = gr.Image(value="https://images.prodia.xyz/8ede1a7c-c0ee-4ded-987d-6ffed35fc477.png")
     
             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=64)
+                                                   i2i_seed], outputs=i2i_image_output, concurrency_limit=124)
         
         with gr.Tab("PNG Info"):
             def plaintext_to_html(text, classname=None):
@@ -324,4 +324,4 @@ with gr.Blocks(css=css) as demo:
                                                                                       width, height, cfg_scale],
                                       concurrency_limit=64)
 
-demo.queue(max_size=80, api_open=False).launch(max_threads=256, show_api=False)
+demo.queue(max_size=80, api_open=False).launch(max_threads=1024, show_api=False)