Update app.py

app.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())
@@ -167,55 +162,31 @@ def create_demo(args, model_name: str, device: str = "cuda" if torch.cuda.is_ava
             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)
-
 
         with gr.Row():
             with gr.Column():
                 gr.Markdown("## Examples")
                 
-                # 모든 예시를 하나의 리스트로 합칩니다
                 all_examples = [
-                    ['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', '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', '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],
-                    ['portrait, made of ice sculpture', 'example_inputs/lecun.jpg', 1, 1, 3811899118709451814, 5],
+                    ['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'],
                 ]
 
-                # 예시 이미지와 캡션을 준비합니다
                 example_images = [example[1] for example in all_examples]
                 example_captions = [example[0] for example in all_examples]
 
-                # Gallery 컴포넌트를 사용하여 그리드 형태로 예시들을 표시합니다
                 gallery = gr.Gallery(
                     value=list(zip(example_images, example_captions)),
                     label="Example Gallery",
@@ -227,21 +198,33 @@ def create_demo(args, model_name: str, device: str = "cuda" if torch.cuda.is_ava
                     height="auto"
                 )
 
-                # 예시 클릭 시 입력 필드에 값을 채우는 함수
                 def fill_example(evt: gr.SelectData):
-                    return [all_examples[evt.index][i] for i in [0, 1, 2, 3, 4, 5]]
+                    return [all_examples[evt.index][i] for i in [0, 1]]
 
                 gallery.select(
                     fill_example,
                     None,
-                    [prompt, id_image, start_step, guidance, seed, true_cfg],
+                    [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