remove examples

app.py

@@ -41,221 +41,6 @@ def generate_image(text, img1, img2, img3, height, width, guidance_scale, img_gu
     img = output[0]
     return img
 
-
-
-def get_example():
-    case = [
-        [
-            "A curly-haired man in a red shirt is drinking tea.",
-            None,
-            None,
-            None,
-            1024,
-            1024,
-            2.5,
-            1.6,
-            0,
-            1024,
-            False,
-            False,
-        ],
-        [
-            "The woman in <img><|image_1|></img> waves her hand happily in the crowd",
-            "./imgs/test_cases/zhang.png",
-            None,
-            None,
-            1024,
-            1024,
-            2.5,
-            1.9,
-            128,
-            1024,
-            False,
-            False,
-        ],
-        [
-            "A man in a black shirt is reading a book. The man is the right man in <img><|image_1|></img>.",
-            "./imgs/test_cases/two_man.jpg",
-            None,
-            None,
-            1024,
-            1024,
-            2.5,
-            1.6,
-            0,
-            1024,
-            False,
-            False,
-        ],
-        [
-            "Two woman are raising fried chicken legs in a bar. A woman is <img><|image_1|></img>. Another woman is <img><|image_2|></img>.",
-            "./imgs/test_cases/mckenna.jpg",
-            "./imgs/test_cases/Amanda.jpg",
-            None,
-            1024,
-            1024,
-            2.5,
-            1.8,
-            65,
-            1024,
-            False,
-            False,
-        ],
-        [
-            "A man and a short-haired woman with a wrinkled face are standing in front of a bookshelf in a library. The man is the man in the middle of <img><|image_1|></img>, and the woman is oldest woman in <img><|image_2|></img>",
-            "./imgs/test_cases/1.jpg",
-            "./imgs/test_cases/2.jpg",
-            None,
-            1024,
-            1024,
-            2.5,
-            1.6,
-            60,
-            1024,
-            False,
-            False,
-        ],
-        [
-            "A man and a woman are sitting at a classroom desk. The man is the man with yellow hair in <img><|image_1|></img>. The woman is the woman on the left of <img><|image_2|></img>",
-            "./imgs/test_cases/3.jpg",
-            "./imgs/test_cases/4.jpg",
-            None,
-            1024,
-            1024,
-            2.5,
-            1.8,
-            66,
-            1024,
-            False,
-            False,
-        ],
-        [
-            "The flower <img><|image_1|></img> is placed in the vase which is in the middle of <img><|image_2|></img> on a wooden table of a living room",
-            "./imgs/test_cases/rose.jpg",
-            "./imgs/test_cases/vase.jpg",
-            None,
-            1024,
-            1024,
-            2.5,
-            1.6,
-            0,
-            1024,
-            False,
-            False,
-        ],
-        [
-            "<img><|image_1|><img>\n Remove the woman's earrings. Replace the mug with a clear glass filled with sparkling iced cola.",
-            "./imgs/demo_cases/t2i_woman_with_book.png",
-            None,
-            None,
-            None,
-            None,
-            2.5,
-            1.6,
-            222,
-            1024,
-            False,
-            True,
-        ],
-        [
-            "Detect the skeleton of human in this image: <img><|image_1|></img>.",
-            "./imgs/test_cases/control.jpg",
-            None,
-            None,
-            1024,
-            1024,
-            2.0,
-            1.6,
-            0,
-            1024,
-            False,
-            True,
-        ],
-        [
-            "Generate a new photo using the following picture and text as conditions: <img><|image_1|><img>\n A young boy is sitting on a sofa in the library, holding a book. His hair is neatly combed, and a faint smile plays on his lips, with a few freckles scattered across his cheeks. The library is quiet, with rows of shelves filled with books stretching out behind him.",
-            "./imgs/demo_cases/skeletal.png",
-            None,
-            None,
-            1024,
-            1024,
-            2,
-            1.6,
-            999,
-            1024,
-            False,
-            True,
-        ],
-        [
-            "Following the pose of this image <img><|image_1|><img>, generate a new photo: A young boy is sitting on a sofa in the library, holding a book. His hair is neatly combed, and a faint smile plays on his lips, with a few freckles scattered across his cheeks. The library is quiet, with rows of shelves filled with books stretching out behind him.",
-            "./imgs/demo_cases/edit.png",
-            None,
-            None,
-            1024,
-            1024,
-            2.0,
-            1.6,
-            123,
-            1024,
-            False,
-            True,
-        ],
-        [
-            "Following the depth mapping of this image <img><|image_1|><img>, generate a new photo: A young girl is sitting on a sofa in the library, holding a book. His hair is neatly combed, and a faint smile plays on his lips, with a few freckles scattered across his cheeks. The library is quiet, with rows of shelves filled with books stretching out behind him.",
-            "./imgs/demo_cases/edit.png",
-            None,
-            None,
-            1024,
-            1024,
-            2.0,
-            1.6,
-            1,
-            1024,
-            False,
-            True,
-        ],
-        [
-            "<img><|image_1|><\/img> What item can be used to see the current time? Please highlight it in blue.",
-            "./imgs/test_cases/watch.jpg",
-            None,
-            None,
-            1024,
-            1024,
-            2.5,
-            1.6,
-            666,
-            1024,
-            False,
-            True,
-        ],
-        [
-            "According to the following examples, generate an output for the input.\nInput: <img><|image_1|></img>\nOutput: <img><|image_2|></img>\n\nInput: <img><|image_3|></img>\nOutput: ",
-            "./imgs/test_cases/icl1.jpg",
-            "./imgs/test_cases/icl2.jpg",
-            "./imgs/test_cases/icl3.jpg",
-            224,
-            224,
-            2.5,
-            1.6,
-            1,
-            768,
-            False,
-            False,
-        ],
-    ]
-    return case
-
-def run_for_examples(text, img1, img2, img3, height, width, guidance_scale, img_guidance_scale, seed, max_input_image_size, randomize_seed, use_input_image_size_as_output):    
-    # 在函数内部设置默认值
-    inference_steps = 50
-    separate_cfg_infer = True
-    offload_model = False
-    
-    return generate_image(
-        text, img1, img2, img3, height, width, guidance_scale, img_guidance_scale, 
-        inference_steps, seed, separate_cfg_infer, offload_model,
-        use_input_image_size_as_output, max_input_image_size, randomize_seed
-    )
-
 description = """
 OmniGen is a unified image generation model that you can use to perform various tasks, including but not limited to text-to-image generation, subject-driven generation, Identity-Preserving Generation, and image-conditioned generation.
 For multi-modal to image generation, you should pass a string as `prompt`, and a list of image paths as `input_images`. The placeholder in the prompt should be in the format of `<img><|image_*|></img>` (for the first image, the placeholder is <img><|image_1|></img>. for the second image, the the placeholder is <img><|image_2|></img>).
@@ -379,26 +164,6 @@ with gr.Blocks() as demo:
         outputs=output_image,
     )
 
-    gr.Examples(
-        examples=get_example(),
-        fn=run_for_examples,
-        inputs=[
-            prompt_input,
-            image_input_1,
-            image_input_2,
-            image_input_3,
-            height_input,
-            width_input,
-            guidance_scale_input,
-            img_guidance_scale_input,
-            seed_input,
-            max_input_image_size,
-            randomize_seed,
-            use_input_image_size_as_output,
-        ],
-        outputs=output_image,
-    )
-
     gr.Markdown(article)
 
 # launch