okaris / omni-zero-couples

seed: -1
prompt: Cinematic still photo of a couple. emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy
base_image
style_image
guidance_scale: 3
negative_prompt: anime, cartoon, graphic, (blur, blurry, bokeh), text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured
number_of_steps: 10
identity_image_1
identity_image_2
number_of_images: 1
mask_guidance_end: 1
base_image_strength: 0.3
mask_guidance_start: 0
depth_image_strength: 0.2
style_image_strength: 1
identity_image_strength_1: 1
identity_image_strength_2: 1

{
  "seed": -1,
  "prompt": "Cinematic still photo of a couple. emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy",
  "base_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
  "style_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
  "guidance_scale": 3,
  "negative_prompt": "anime, cartoon, graphic, (blur, blurry, bokeh), text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
  "number_of_steps": 10,
  "identity_image_1": "https://cdn-prod.styleof.com/inferences/cm1hp4lea14oz14jeoghnex7g/dlgc5xwo0qzey7qaixy45i1o-medium.jpeg",
  "identity_image_2": "https://cdn-prod.styleof.com/inferences/cm1ho69ha14np14jesnusqiep/mp3aaktzqz20ujco5i3bi5s1-medium.jpeg",
  "number_of_images": 1,
  "mask_guidance_end": 1,
  "base_image_strength": 0.3,
  "mask_guidance_start": 0,
  "depth_image_strength": 0.2,
  "style_image_strength": 1,
  "identity_image_strength_1": 1,
  "identity_image_strength_2": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run okaris/omni-zero-couples using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "okaris/omni-zero-couples:eaaa7d8cf2c745c9b629606fe35f14b06a980f28b04e176ed3a35c396dd206a4",
  {
    input: {
      seed: -1,
      prompt: "Cinematic still photo of a couple. emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy",
      base_image: "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
      style_image: "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
      guidance_scale: 3,
      negative_prompt: "anime, cartoon, graphic, (blur, blurry, bokeh), text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
      number_of_steps: 10,
      identity_image_1: "https://cdn-prod.styleof.com/inferences/cm1hp4lea14oz14jeoghnex7g/dlgc5xwo0qzey7qaixy45i1o-medium.jpeg",
      identity_image_2: "https://cdn-prod.styleof.com/inferences/cm1ho69ha14np14jesnusqiep/mp3aaktzqz20ujco5i3bi5s1-medium.jpeg",
      number_of_images: 1,
      mask_guidance_end: 1,
      base_image_strength: 0.3,
      mask_guidance_start: 0,
      depth_image_strength: 0.2,
      style_image_strength: 1,
      identity_image_strength_1: 1,
      identity_image_strength_2: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run okaris/omni-zero-couples using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "okaris/omni-zero-couples:eaaa7d8cf2c745c9b629606fe35f14b06a980f28b04e176ed3a35c396dd206a4",
    input={
        "seed": -1,
        "prompt": "Cinematic still photo of a couple. emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy",
        "base_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
        "style_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
        "guidance_scale": 3,
        "negative_prompt": "anime, cartoon, graphic, (blur, blurry, bokeh), text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
        "number_of_steps": 10,
        "identity_image_1": "https://cdn-prod.styleof.com/inferences/cm1hp4lea14oz14jeoghnex7g/dlgc5xwo0qzey7qaixy45i1o-medium.jpeg",
        "identity_image_2": "https://cdn-prod.styleof.com/inferences/cm1ho69ha14np14jesnusqiep/mp3aaktzqz20ujco5i3bi5s1-medium.jpeg",
        "number_of_images": 1,
        "mask_guidance_end": 1,
        "base_image_strength": 0.3,
        "mask_guidance_start": 0,
        "depth_image_strength": 0.2,
        "style_image_strength": 1,
        "identity_image_strength_1": 1,
        "identity_image_strength_2": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run okaris/omni-zero-couples using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "okaris/omni-zero-couples:eaaa7d8cf2c745c9b629606fe35f14b06a980f28b04e176ed3a35c396dd206a4",
    "input": {
      "seed": -1,
      "prompt": "Cinematic still photo of a couple. emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy",
      "base_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
      "style_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
      "guidance_scale": 3,
      "negative_prompt": "anime, cartoon, graphic, (blur, blurry, bokeh), text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
      "number_of_steps": 10,
      "identity_image_1": "https://cdn-prod.styleof.com/inferences/cm1hp4lea14oz14jeoghnex7g/dlgc5xwo0qzey7qaixy45i1o-medium.jpeg",
      "identity_image_2": "https://cdn-prod.styleof.com/inferences/cm1ho69ha14np14jesnusqiep/mp3aaktzqz20ujco5i3bi5s1-medium.jpeg",
      "number_of_images": 1,
      "mask_guidance_end": 1,
      "base_image_strength": 0.3,
      "mask_guidance_start": 0,
      "depth_image_strength": 0.2,
      "style_image_strength": 1,
      "identity_image_strength_1": 1,
      "identity_image_strength_2": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2024-09-25T15:17:47.778280Z",
  "created_at": "2024-09-25T15:13:21.552000Z",
  "data_removed": false,
  "error": null,
  "id": "834y1tkrj1rgm0cj56zbemt884",
  "input": {
    "seed": -1,
    "prompt": "Cinematic still photo of a couple. emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy",
    "base_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
    "style_image": "https://cdn-prod.styleof.com/inferences/cm1ho5cjl14nh14jec6phg2h8/i6k59e7gpsr45ufc7l8kun0g-medium.jpeg",
    "guidance_scale": 3,
    "negative_prompt": "anime, cartoon, graphic, (blur, blurry, bokeh), text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
    "number_of_steps": 10,
    "identity_image_1": "https://cdn-prod.styleof.com/inferences/cm1hp4lea14oz14jeoghnex7g/dlgc5xwo0qzey7qaixy45i1o-medium.jpeg",
    "identity_image_2": "https://cdn-prod.styleof.com/inferences/cm1ho69ha14np14jesnusqiep/mp3aaktzqz20ujco5i3bi5s1-medium.jpeg",
    "number_of_images": 1,
    "mask_guidance_end": 1,
    "base_image_strength": 0.3,
    "mask_guidance_start": 0,
    "depth_image_strength": 0.2,
    "style_image_strength": 1,
    "identity_image_strength_1": 1,
    "identity_image_strength_2": 1
  },
  "logs": "base_image <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x711A70743410>\nstyle_image <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x711B65DC6810>\nidentity_image_1 <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x711B65DC49D0>\nidentity_image_2 <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x71197C256B90>\ndepth_image None\n/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\nTo use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\nP = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\nFace 1 -0: Age: 28, Gender: 0\nFace 2 -0: Age: 76, Gender: 1\n  0%|          | 0/10 [00:00<?, ?it/s]/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torchsde/_brownian/brownian_interval.py:608: UserWarning: Should have tb<=t1 but got tb=2.3583380698653342 and t1=2.358338.\nwarnings.warn(f\"Should have {tb_name}<=t1 but got {tb_name}={tb} and t1={self._end}.\")\n 10%|█         | 1/10 [00:00<00:05,  1.74it/s]\n 20%|██        | 2/10 [00:01<00:04,  1.87it/s]\n 30%|███       | 3/10 [00:01<00:03,  1.93it/s]\n 40%|████      | 4/10 [00:02<00:03,  1.92it/s]\n 50%|█████     | 5/10 [00:02<00:02,  1.95it/s]\n 60%|██████    | 6/10 [00:03<00:02,  1.87it/s]\n 70%|███████   | 7/10 [00:03<00:01,  1.91it/s]\n 80%|████████  | 8/10 [00:04<00:01,  1.91it/s]\n 90%|█████████ | 9/10 [00:04<00:00,  1.94it/s]/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torchsde/_brownian/brownian_interval.py:599: UserWarning: Should have ta>=t0 but got ta=0.0 and t0=0.075972.\nwarnings.warn(f\"Should have ta>=t0 but got ta={ta} and t0={self._start}.\")\n100%|██████████| 10/10 [00:05<00:00,  1.94it/s]\n100%|██████████| 10/10 [00:05<00:00,  1.92it/s]",
  "metrics": {
    "predict_time": 12.610415932,
    "total_time": 266.22628
  },
  "output": [
    "https://replicate.delivery/pbxt/q9k6DenF0wUnBqO1e6LRy6hecMRDnhYpwzklHHJeWRws52BOB/oz_output_0.jpg"
  ],
  "started_at": "2024-09-25T15:17:35.167864Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/834y1tkrj1rgm0cj56zbemt884",
    "cancel": "https://api.replicate.com/v1/predictions/834y1tkrj1rgm0cj56zbemt884/cancel"
  },
  "version": "eaaa7d8cf2c745c9b629606fe35f14b06a980f28b04e176ed3a35c396dd206a4"
}

Generated in

12.6 seconds

Tweak it Share Report

base_image <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x711A70743410>
style_image <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x711B65DC6810>
identity_image_1 <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x711B65DC49D0>
identity_image_2 <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=960x720 at 0x71197C256B90>
depth_image None
/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4
Face 1 -0: Age: 28, Gender: 0
Face 2 -0: Age: 76, Gender: 1
  0%|          | 0/10 [00:00<?, ?it/s]/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torchsde/_brownian/brownian_interval.py:608: UserWarning: Should have tb<=t1 but got tb=2.3583380698653342 and t1=2.358338.
warnings.warn(f"Should have {tb_name}<=t1 but got {tb_name}={tb} and t1={self._end}.")
 10%|█         | 1/10 [00:00<00:05,  1.74it/s]
 20%|██        | 2/10 [00:01<00:04,  1.87it/s]
 30%|███       | 3/10 [00:01<00:03,  1.93it/s]
 40%|████      | 4/10 [00:02<00:03,  1.92it/s]
 50%|█████     | 5/10 [00:02<00:02,  1.95it/s]
 60%|██████    | 6/10 [00:03<00:02,  1.87it/s]
 70%|███████   | 7/10 [00:03<00:01,  1.91it/s]
 80%|████████  | 8/10 [00:04<00:01,  1.91it/s]
 90%|█████████ | 9/10 [00:04<00:00,  1.94it/s]/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torchsde/_brownian/brownian_interval.py:599: UserWarning: Should have ta>=t0 but got ta=0.0 and t0=0.075972.
warnings.warn(f"Should have ta>=t0 but got ta={ta} and t0={self._start}.")
100%|██████████| 10/10 [00:05<00:00,  1.94it/s]
100%|██████████| 10/10 [00:05<00:00,  1.92it/s]

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