Update app-backup.py

app-backup.py

@@ -74,7 +74,7 @@ def generate_image(
 
     if opts.seed is None:
         opts.seed = torch.Generator(device="cpu").seed()
-    print(f"Generating '{opts.prompt}' with seed {opts.seed}")
+
     t0 = time.perf_counter()
 
     use_true_cfg = abs(true_cfg - 1.0) > 1e-2
@@ -86,8 +86,6 @@ def generate_image(
         id_embeddings = None
         uncond_id_embeddings = None
 
-    print(id_embeddings)
-
     # prepare input
     x = get_noise(
         1,
@@ -97,7 +95,6 @@ def generate_image(
         dtype=torch.bfloat16,
         seed=opts.seed,
     )
-    print(x)
     timesteps = get_schedule(
         opts.num_steps,
         x.shape[-1] * x.shape[-2] // 4,
@@ -142,10 +139,8 @@ def generate_image(
 
     t1 = time.perf_counter()
 
-    print(f"Done in {t1 - t0:.1f}s.")
     # bring into PIL format
     x = x.clamp(-1, 1)
-    # x = embed_watermark(x.float())
     x = rearrange(x[0], "c h w -> h w c")
 
     img = Image.fromarray((127.5 * (x + 1.0)).cpu().byte().numpy())
@@ -163,106 +158,73 @@ def create_demo(args, model_name: str, device: str = "cuda" if torch.cuda.is_ava
     
     with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as demo:
         
-        
         with gr.Row():
             with gr.Column():
                 prompt = gr.Textbox(label="Prompt", value="portrait, color, cinematic")
                 id_image = gr.Image(label="ID Image")
-                id_weight = gr.Slider(0.0, 3.0, 1, step=0.05, label="id weight")
-
-
-                width = gr.Slider(256, 1536, 896, step=16, label="Width")
-                height = gr.Slider(256, 1536, 1152, step=16, label="Height")
-                num_steps = gr.Slider(1, 20, 20, step=1, label="Number of steps")
-                start_step = gr.Slider(0, 10, 0, step=1, label="timestep to start inserting ID")
-                guidance = gr.Slider(1.0, 10.0, 4, step=0.1, label="Guidance")
-                seed = gr.Textbox(-1, label="Seed (-1 for random)")
-                max_sequence_length = gr.Slider(128, 512, 128, step=128,
-                                                label="max_sequence_length for prompt (T5), small will be faster")
-
-                with gr.Accordion("Advanced Options (True CFG, true_cfg_scale=1 means use fake CFG, >1 means use true CFG, if using true CFG, we recommend set the guidance scale to 1)", open=False):    # noqa E501
-                    neg_prompt = gr.Textbox(
-                        label="Negative Prompt",
-                        value="bad quality, worst quality, text, signature, watermark, extra limbs")
-                    true_cfg = gr.Slider(1.0, 10.0, 1, step=0.1, label="true CFG scale")
-                    timestep_to_start_cfg = gr.Slider(0, 20, 1, step=1, label="timestep to start cfg", visible=args.dev)
-
                 generate_btn = gr.Button("Generate")
                 
             with gr.Column():
                 output_image = gr.Image(label="Generated Image")
-                seed_output = gr.Textbox(label="Used Seed")
-                intermediate_output = gr.Gallery(label='Output', elem_id="gallery", visible=args.dev)
-                # _CITE_ 관련 부분 제거
- 
 
-        with gr.Row(), gr.Column():
+        with gr.Row():
+            with gr.Column():
                 gr.Markdown("## Examples")
-                example_inps = [
-                    [
-                        'a woman holding sign with glowing green text \"PuLID for FLUX\"',
-                        'example_inputs/liuyifei.png',
-                        4, 4, 2680261499100305976, 1
-                    ],
-                    [
-                        'portrait, side view',
-                        'example_inputs/liuyifei.png',
-                        4, 4, 1205240166692517553, 1
-                    ],
-                    [
-                        'white-haired woman with vr technology atmosphere, revolutionary exceptional magnum with remarkable details',  # noqa E501
-                        'example_inputs/liuyifei.png',
-                        4, 4, 6349424134217931066, 1
-                    ],
-                    [
-                        'a young child is eating Icecream',
-                        'example_inputs/liuyifei.png',
-                        4, 4, 10606046113565776207, 1
-                    ],
-                    [
-                        'a man is holding a sign with text \"PuLID for FLUX\", winter, snowing, top of the mountain',
-                        'example_inputs/pengwei.jpg',
-                        4, 4, 2410129802683836089, 1
-                    ],
-                    [
-                        'portrait, candle light',
-                        'example_inputs/pengwei.jpg',
-                        4, 4, 17522759474323955700, 1
-                    ],
-                    [
-                        'profile shot dark photo of a 25-year-old male with smoke escaping from his mouth, the backlit smoke gives the image an ephemeral quality, natural face, natural eyebrows, natural skin texture, award winning photo, highly detailed face, atmospheric lighting, film grain, monochrome',  # noqa E501
-                        'example_inputs/pengwei.jpg',
-                        4, 4, 17733156847328193625, 1
-                    ],
-                    [
-                        'American Comics, 1boy',
-                        'example_inputs/pengwei.jpg',
-                        1, 4, 13223174453874179686, 1
-                    ],
-                    [
-                        'portrait, pixar',
-                        'example_inputs/pengwei.jpg',
-                        1, 4, 9445036702517583939, 1
-                    ],
-                ]
-                gr.Examples(examples=example_inps, inputs=[prompt, id_image, start_step, guidance, seed, true_cfg],
-                            label='fake CFG')
-
-                example_inps = [
-                    [
-                        'portrait, made of ice sculpture',
-                        'example_inputs/lecun.jpg',
-                        1, 1, 3811899118709451814, 5
-                    ],
+                
+                all_examples = [
+                    ['a woman holding sign with glowing green text \"PuLID for FLUX\"', 'example_inputs/liuyifei.png'],
+                    ['portrait, side view', 'example_inputs/liuyifei.png'],
+                    ['white-haired woman with vr technology atmosphere', 'example_inputs/liuyifei.png'],
+                    ['a young child is eating Icecream', 'example_inputs/liuyifei.png'],
+                    ['a man is holding a sign with text \"PuLID for FLUX\", winter, snowing', 'example_inputs/pengwei.jpg'],
+                    ['portrait, candle light', 'example_inputs/pengwei.jpg'],
+                    ['profile shot dark photo of a 25-year-old male with smoke', 'example_inputs/pengwei.jpg'],
+                    ['American Comics, 1boy', 'example_inputs/pengwei.jpg'],
+                    ['portrait, pixar', 'example_inputs/pengwei.jpg'],
+                    ['portrait, made of ice sculpture', 'example_inputs/lecun.jpg'],
                 ]
-                gr.Examples(examples=example_inps, inputs=[prompt, id_image, start_step, guidance, seed, true_cfg],
-                            label='true CFG')
+
+                example_images = [example[1] for example in all_examples]
+                example_captions = [example[0] for example in all_examples]
+
+                gallery = gr.Gallery(
+                    value=list(zip(example_images, example_captions)),
+                    label="Example Gallery",
+                    show_label=False,
+                    elem_id="gallery",
+                    columns=5,
+                    rows=2,
+                    object_fit="contain",
+                    height="auto"
+                )
+
+                def fill_example(evt: gr.SelectData):
+                    return [all_examples[evt.index][i] for i in [0, 1]]
+
+                gallery.select(
+                    fill_example,
+                    None,
+                    [prompt, id_image],
+                )
 
         generate_btn.click(
             fn=generate_image,
-            inputs=[width, height, num_steps, start_step, guidance, seed, prompt, id_image, id_weight, neg_prompt,
-                    true_cfg, timestep_to_start_cfg, max_sequence_length],
-            outputs=[output_image, seed_output, intermediate_output],
+            inputs=[
+                gr.Slider(256, 1536, 896, step=16, visible=False),  # width
+                gr.Slider(256, 1536, 1152, step=16, visible=False),  # height
+                gr.Slider(1, 20, 20, step=1, visible=False),  # num_steps
+                gr.Slider(0, 10, 0, step=1, visible=False),  # start_step
+                gr.Slider(1.0, 10.0, 4, step=0.1, visible=False),  # guidance
+                gr.Textbox(-1, visible=False),  # seed
+                prompt, 
+                id_image, 
+                gr.Slider(0.0, 3.0, 1, step=0.05, visible=False),  # id_weight
+                gr.Textbox("bad quality, worst quality, text, signature, watermark, extra limbs", visible=False),  # neg_prompt
+                gr.Slider(1.0, 10.0, 1, step=0.1, visible=False),  # true_cfg
+                gr.Slider(0, 20, 1, step=1, visible=False),  # timestep_to_start_cfg
+                gr.Slider(128, 512, 128, step=128, visible=False),  # max_sequence_length
+            ],
+            outputs=[output_image],
         )
 
     return demo