const output = await replicate.run(
  "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "a photo of an astronaut riding a horse on mars",
      offload_model: false,
      guidance_scale: 2.5,
      inference_steps: 50,
      img_guidance_scale: 1.6,
      separate_cfg_infer: true,
      max_input_image_size: 1024,
      use_input_image_size_as_output: false
    }
  }
);
console.log(output);

output = replicate.run(
    "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "a photo of an astronaut riding a horse on mars",
        "offload_model": False,
        "guidance_scale": 2.5,
        "inference_steps": 50,
        "img_guidance_scale": 1.6,
        "separate_cfg_infer": True,
        "max_input_image_size": 1024,
        "use_input_image_size_as_output": False
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "a photo of an astronaut riding a horse on mars",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  https://api.replicate.com/v1/predictions

cog predict r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="a photo of an astronaut riding a horse on mars"' \
  -i 'offload_model=false' \
  -i 'guidance_scale=2.5' \
  -i 'inference_steps=50' \
  -i 'img_guidance_scale=1.6' \
  -i 'separate_cfg_infer=true' \
  -i 'max_input_image_size=1024' \
  -i 'use_input_image_size_as_output=false'

docker run -d -p 5000:5000 --gpus=all r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "a photo of an astronaut riding a horse on mars",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  http://localhost:5000/predictions

const output = await replicate.run(
  "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A curly-haired man in a red shirt is drinking tea.",
      offload_model: false,
      guidance_scale: 2.5,
      inference_steps: 50,
      img_guidance_scale: 1.6,
      separate_cfg_infer: true,
      max_input_image_size: 1024,
      use_input_image_size_as_output: false
    }
  }
);
console.log(output);

output = replicate.run(
    "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A curly-haired man in a red shirt is drinking tea.",
        "offload_model": False,
        "guidance_scale": 2.5,
        "inference_steps": 50,
        "img_guidance_scale": 1.6,
        "separate_cfg_infer": True,
        "max_input_image_size": 1024,
        "use_input_image_size_as_output": False
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A curly-haired man in a red shirt is drinking tea.",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  https://api.replicate.com/v1/predictions

cog predict r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="A curly-haired man in a red shirt is drinking tea."' \
  -i 'offload_model=false' \
  -i 'guidance_scale=2.5' \
  -i 'inference_steps=50' \
  -i 'img_guidance_scale=1.6' \
  -i 'separate_cfg_infer=true' \
  -i 'max_input_image_size=1024' \
  -i 'use_input_image_size_as_output=false'

docker run -d -p 5000:5000 --gpus=all r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A curly-haired man in a red shirt is drinking tea.",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  http://localhost:5000/predictions

const output = await replicate.run(
  "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
  {
    input: {
      img1: "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/1f6249e8bb52cfc61be3595778b68f873ffaa04c26e2c107df9fce503892976d/rose.jpg",
      img2: "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/67cbd1b8e20b17b208c0838eb839d1ddeab037fabdf8839fe7698270d1fc9e0b/vase.jpg",
      width: 1024,
      height: 1024,
      prompt: "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",
      offload_model: false,
      guidance_scale: 2.5,
      inference_steps: 50,
      img_guidance_scale: 1.6,
      separate_cfg_infer: true,
      max_input_image_size: 1024,
      use_input_image_size_as_output: false
    }
  }
);
console.log(output);

output = replicate.run(
    "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    input={
        "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/1f6249e8bb52cfc61be3595778b68f873ffaa04c26e2c107df9fce503892976d/rose.jpg",
        "img2": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/67cbd1b8e20b17b208c0838eb839d1ddeab037fabdf8839fe7698270d1fc9e0b/vase.jpg",
        "width": 1024,
        "height": 1024,
        "prompt": "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",
        "offload_model": False,
        "guidance_scale": 2.5,
        "inference_steps": 50,
        "img_guidance_scale": 1.6,
        "separate_cfg_infer": True,
        "max_input_image_size": 1024,
        "use_input_image_size_as_output": False
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/1f6249e8bb52cfc61be3595778b68f873ffaa04c26e2c107df9fce503892976d/rose.jpg",
      "img2": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/67cbd1b8e20b17b208c0838eb839d1ddeab037fabdf8839fe7698270d1fc9e0b/vase.jpg",
      "width": 1024,
      "height": 1024,
      "prompt": "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",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  https://api.replicate.com/v1/predictions

cog predict r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b \
  -i 'img1="https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/1f6249e8bb52cfc61be3595778b68f873ffaa04c26e2c107df9fce503892976d/rose.jpg"' \
  -i 'img2="https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/67cbd1b8e20b17b208c0838eb839d1ddeab037fabdf8839fe7698270d1fc9e0b/vase.jpg"' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i $'prompt="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"' \
  -i 'offload_model=false' \
  -i 'guidance_scale=2.5' \
  -i 'inference_steps=50' \
  -i 'img_guidance_scale=1.6' \
  -i 'separate_cfg_infer=true' \
  -i 'max_input_image_size=1024' \
  -i 'use_input_image_size_as_output=false'

docker run -d -p 5000:5000 --gpus=all r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/1f6249e8bb52cfc61be3595778b68f873ffaa04c26e2c107df9fce503892976d/rose.jpg",
      "img2": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/67cbd1b8e20b17b208c0838eb839d1ddeab037fabdf8839fe7698270d1fc9e0b/vase.jpg",
      "width": 1024,
      "height": 1024,
      "prompt": "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",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  http://localhost:5000/predictions

const output = await replicate.run(
  "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
  {
    input: {
      img1: "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/0bf3ea49bb711bd01c604ad5d92f0a979c1aa77a0178f5aa8bd6f630fbe91b5b/1.jpg",
      img2: "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/9b4a1dda348cb4c67cfb8452b170c842d836ea931066a5ded7132ab4a71a6f3c/2.jpg",
      width: 1024,
      height: 1024,
      prompt: "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>",
      offload_model: false,
      guidance_scale: 2.5,
      inference_steps: 50,
      img_guidance_scale: 1.6,
      separate_cfg_infer: true,
      max_input_image_size: 1024,
      use_input_image_size_as_output: false
    }
  }
);
console.log(output);

output = replicate.run(
    "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    input={
        "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/0bf3ea49bb711bd01c604ad5d92f0a979c1aa77a0178f5aa8bd6f630fbe91b5b/1.jpg",
        "img2": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/9b4a1dda348cb4c67cfb8452b170c842d836ea931066a5ded7132ab4a71a6f3c/2.jpg",
        "width": 1024,
        "height": 1024,
        "prompt": "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>",
        "offload_model": False,
        "guidance_scale": 2.5,
        "inference_steps": 50,
        "img_guidance_scale": 1.6,
        "separate_cfg_infer": True,
        "max_input_image_size": 1024,
        "use_input_image_size_as_output": False
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/0bf3ea49bb711bd01c604ad5d92f0a979c1aa77a0178f5aa8bd6f630fbe91b5b/1.jpg",
      "img2": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/9b4a1dda348cb4c67cfb8452b170c842d836ea931066a5ded7132ab4a71a6f3c/2.jpg",
      "width": 1024,
      "height": 1024,
      "prompt": "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>",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  https://api.replicate.com/v1/predictions

cog predict r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b \
  -i 'img1="https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/0bf3ea49bb711bd01c604ad5d92f0a979c1aa77a0178f5aa8bd6f630fbe91b5b/1.jpg"' \
  -i 'img2="https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/9b4a1dda348cb4c67cfb8452b170c842d836ea931066a5ded7132ab4a71a6f3c/2.jpg"' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="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>"' \
  -i 'offload_model=false' \
  -i 'guidance_scale=2.5' \
  -i 'inference_steps=50' \
  -i 'img_guidance_scale=1.6' \
  -i 'separate_cfg_infer=true' \
  -i 'max_input_image_size=1024' \
  -i 'use_input_image_size_as_output=false'

docker run -d -p 5000:5000 --gpus=all r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/0bf3ea49bb711bd01c604ad5d92f0a979c1aa77a0178f5aa8bd6f630fbe91b5b/1.jpg",
      "img2": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/9b4a1dda348cb4c67cfb8452b170c842d836ea931066a5ded7132ab4a71a6f3c/2.jpg",
      "width": 1024,
      "height": 1024,
      "prompt": "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>",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": false
    }
  }' \
  http://localhost:5000/predictions

const output = await replicate.run(
  "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
  {
    input: {
      img1: "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/100b06b1fb7c8fb362406f0101d3b76dc6c088ed3dfaf25fc7231a8ae1ea0340/skeletal.png",
      width: 1024,
      height: 1024,
      prompt: "Generate a new photo using the following picture and text as conditions: <img><|image_1|><img> 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.",
      offload_model: false,
      guidance_scale: 2.5,
      inference_steps: 50,
      img_guidance_scale: 1.6,
      separate_cfg_infer: true,
      max_input_image_size: 1024,
      use_input_image_size_as_output: true
    }
  }
);
console.log(output);

output = replicate.run(
    "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    input={
        "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/100b06b1fb7c8fb362406f0101d3b76dc6c088ed3dfaf25fc7231a8ae1ea0340/skeletal.png",
        "width": 1024,
        "height": 1024,
        "prompt": "Generate a new photo using the following picture and text as conditions: <img><|image_1|><img> 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.",
        "offload_model": False,
        "guidance_scale": 2.5,
        "inference_steps": 50,
        "img_guidance_scale": 1.6,
        "separate_cfg_infer": True,
        "max_input_image_size": 1024,
        "use_input_image_size_as_output": True
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/100b06b1fb7c8fb362406f0101d3b76dc6c088ed3dfaf25fc7231a8ae1ea0340/skeletal.png",
      "width": 1024,
      "height": 1024,
      "prompt": "Generate a new photo using the following picture and text as conditions: <img><|image_1|><img> 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.",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": true
    }
  }' \
  https://api.replicate.com/v1/predictions

cog predict r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b \
  -i 'img1="https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/100b06b1fb7c8fb362406f0101d3b76dc6c088ed3dfaf25fc7231a8ae1ea0340/skeletal.png"' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="Generate a new photo using the following picture and text as conditions: <img><|image_1|><img> 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."' \
  -i 'offload_model=false' \
  -i 'guidance_scale=2.5' \
  -i 'inference_steps=50' \
  -i 'img_guidance_scale=1.6' \
  -i 'separate_cfg_infer=true' \
  -i 'max_input_image_size=1024' \
  -i 'use_input_image_size_as_output=true'

docker run -d -p 5000:5000 --gpus=all r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/100b06b1fb7c8fb362406f0101d3b76dc6c088ed3dfaf25fc7231a8ae1ea0340/skeletal.png",
      "width": 1024,
      "height": 1024,
      "prompt": "Generate a new photo using the following picture and text as conditions: <img><|image_1|><img> 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.",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": true
    }
  }' \
  http://localhost:5000/predictions

const output = await replicate.run(
  "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
  {
    input: {
      img1: "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/23e02261d0d5dd416702fc5645b5192af904ddd5d83e6953913720c625b40306/t2i_woman_with_book.png",
      width: 1024,
      height: 1024,
      prompt: "<img><|image_1|><img> Remove the woman's earrings. Replace the mug with a clear glass filled with sparkling iced cola.",
      offload_model: false,
      guidance_scale: 2.5,
      inference_steps: 50,
      img_guidance_scale: 1.6,
      separate_cfg_infer: true,
      max_input_image_size: 1024,
      use_input_image_size_as_output: true
    }
  }
);
console.log(output);

output = replicate.run(
    "vectorspacelab/omnigen:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    input={
        "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/23e02261d0d5dd416702fc5645b5192af904ddd5d83e6953913720c625b40306/t2i_woman_with_book.png",
        "width": 1024,
        "height": 1024,
        "prompt": "<img><|image_1|><img> Remove the woman's earrings. Replace the mug with a clear glass filled with sparkling iced cola.",
        "offload_model": False,
        "guidance_scale": 2.5,
        "inference_steps": 50,
        "img_guidance_scale": 1.6,
        "separate_cfg_infer": True,
        "max_input_image_size": 1024,
        "use_input_image_size_as_output": True
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b",
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/23e02261d0d5dd416702fc5645b5192af904ddd5d83e6953913720c625b40306/t2i_woman_with_book.png",
      "width": 1024,
      "height": 1024,
      "prompt": "<img><|image_1|><img> Remove the woman\'s earrings. Replace the mug with a clear glass filled with sparkling iced cola.",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": true
    }
  }' \
  https://api.replicate.com/v1/predictions

cog predict r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b \
  -i 'img1="https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/23e02261d0d5dd416702fc5645b5192af904ddd5d83e6953913720c625b40306/t2i_woman_with_book.png"' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i $'prompt="<img><|image_1|><img> Remove the woman\'s earrings. Replace the mug with a clear glass filled with sparkling iced cola."' \
  -i 'offload_model=false' \
  -i 'guidance_scale=2.5' \
  -i 'inference_steps=50' \
  -i 'img_guidance_scale=1.6' \
  -i 'separate_cfg_infer=true' \
  -i 'max_input_image_size=1024' \
  -i 'use_input_image_size_as_output=true'

docker run -d -p 5000:5000 --gpus=all r8.im/vectorspacelab/omnigen@sha256:af66691a8952a0ce21b26e840835ad1efe176af159e10169ec5df6916338863b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "img1": "https://shitao-omnigen.hf.space/gradio_api/file=/tmp/gradio/23e02261d0d5dd416702fc5645b5192af904ddd5d83e6953913720c625b40306/t2i_woman_with_book.png",
      "width": 1024,
      "height": 1024,
      "prompt": "<img><|image_1|><img> Remove the woman\'s earrings. Replace the mug with a clear glass filled with sparkling iced cola.",
      "offload_model": false,
      "guidance_scale": 2.5,
      "inference_steps": 50,
      "img_guidance_scale": 1.6,
      "separate_cfg_infer": true,
      "max_input_image_size": 1024,
      "use_input_image_size_as_output": true
    }
  }' \
  http://localhost:5000/predictions