Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

4itf4x3bvnj5yv52rhhuluaki4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.4s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of Sam Altman, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of Sam Altman, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of Sam Altman, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of Sam Altman, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Sam Altman, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of Sam Altman, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Sam Altman, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-23T10:19:31.741884Z",
  "created_at": "2023-12-23T10:19:26.347788Z",
  "data_removed": false,
  "error": null,
  "id": "4itf4x3bvnj5yv52rhhuluaki4",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of Sam Altman, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 3898\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of Sam Altman, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.29it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.26it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.26it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.26it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.26it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.26it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.26it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.27it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.27it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.27it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.27it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.27it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.28it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.27it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.28it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.27it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.27it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.27it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.27it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.27it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.27it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.27it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.28it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.28it/s]\n100%|██████████| 25/25 [00:03<00:00,  6.28it/s]\n100%|██████████| 25/25 [00:03<00:00,  6.27it/s]",
  "metrics": {
    "predict_time": 5.361359,
    "total_time": 5.394096
  },
  "output": [
    "https://replicate.delivery/pbxt/uPrdx2aXlfwhayvnUmTMw0V4gcZRgxHrX1uDsrHRGnDZMjCJA/out-0.png"
  ],
  "started_at": "2023-12-23T10:19:26.380525Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/4itf4x3bvnj5yv52rhhuluaki4",
    "cancel": "https://api.replicate.com/v1/predictions/4itf4x3bvnj5yv52rhhuluaki4/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

73hix3dbalasthghnwawf63imu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.5s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-23T10:31:15.613945Z",
  "created_at": "2023-12-23T10:31:10.104038Z",
  "data_removed": false,
  "error": null,
  "id": "73hix3dbalasthghnwawf63imu",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of Steve Jobs holding an iPhone, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 13903\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of Steve Jobs holding an iPhone, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.26it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.21it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.23it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.23it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.23it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.23it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.24it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.24it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.23it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.23it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.23it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.23it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.22it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.22it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.22it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.22it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.22it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.21it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.21it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.20it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.19it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.18it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.19it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.19it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.19it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.21it/s]",
  "metrics": {
    "predict_time": 5.443178,
    "total_time": 5.509907
  },
  "output": [
    "https://replicate.delivery/pbxt/xOzhefgzXliiikqz2pqv26ktTltFf3eb1fGqmqLBZhRVeoRhE/out-0.png"
  ],
  "started_at": "2023-12-23T10:31:10.170767Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/73hix3dbalasthghnwawf63imu",
    "cancel": "https://api.replicate.com/v1/predictions/73hix3dbalasthghnwawf63imu/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.5 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

3t5ogrtbgdhlvybovbpsrz2ls4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.4s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of Elon Musk, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of Elon Musk, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of Elon Musk, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of Elon Musk, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Elon Musk, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of Elon Musk, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Elon Musk, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-22T17:28:40.030705Z",
  "created_at": "2023-12-22T17:28:34.629387Z",
  "data_removed": false,
  "error": null,
  "id": "3t5ogrtbgdhlvybovbpsrz2ls4",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of Elon Musk, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 34627\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of Elon Musk, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.30it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.26it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.25it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.26it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.26it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.26it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.25it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.25it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.26it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.26it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.27it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.26it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.26it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.26it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.26it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.25it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.25it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.25it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.25it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.25it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.24it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.25it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.25it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.25it/s]\n100%|██████████| 25/25 [00:03<00:00,  6.24it/s]\n100%|██████████| 25/25 [00:03<00:00,  6.25it/s]",
  "metrics": {
    "predict_time": 5.367048,
    "total_time": 5.401318
  },
  "output": [
    "https://replicate.delivery/pbxt/I0BtP33eKeoOpUe3hLBkxveLBpGNIX4CBgzGcLESeoP5o8mQC/out-0.png"
  ],
  "started_at": "2023-12-22T17:28:34.663657Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3t5ogrtbgdhlvybovbpsrz2ls4",
    "cancel": "https://api.replicate.com/v1/predictions/3t5ogrtbgdhlvybovbpsrz2ls4/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

ecwe6ntb5nap23xoa22athxasq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

78.4s

Created

about 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of Joe Rogan, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of Joe Rogan, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of Joe Rogan, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of Joe Rogan, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Joe Rogan, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of Joe Rogan, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Joe Rogan, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2024-01-16T01:00:10.521962Z",
  "created_at": "2024-01-16T00:58:52.144503Z",
  "data_removed": false,
  "error": null,
  "id": "ecwe6ntb5nap23xoa22athxasq",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of Joe Rogan, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 11182\nEnsuring enough disk space...\nFree disk space: 1647913037824\nDownloading weights: https://replicate.delivery/pbxt/5tWnKqhDTVKZBVpnQaZ9VNnrzXeRW8xSTcGaV2vI6oYrrbCJA/trained_model.tar\n2024-01-16T00:59:46Z | INFO  | [ Initiating ] dest=/src/weights-cache/78ae52d934a92074 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/5tWnKqhDTVKZBVpnQaZ9VNnrzXeRW8xSTcGaV2vI6oYrrbCJA/trained_model.tar\n2024-01-16T00:59:51Z | INFO  | [ Complete ] dest=/src/weights-cache/78ae52d934a92074 size=\"186 MB\" total_elapsed=5.901s url=https://replicate.delivery/pbxt/5tWnKqhDTVKZBVpnQaZ9VNnrzXeRW8xSTcGaV2vI6oYrrbCJA/trained_model.tar\nb''\nDownloaded weights in 6.0366127490997314 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: A <s0><s1> emoji of Joe Rogan, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:20,  1.19it/s]\n  8%|▊         | 2/25 [00:01<00:10,  2.27it/s]\n 12%|█▏        | 3/25 [00:01<00:06,  3.20it/s]\n 16%|█▌        | 4/25 [00:01<00:05,  3.96it/s]\n 20%|██        | 5/25 [00:01<00:04,  4.57it/s]\n 24%|██▍       | 6/25 [00:01<00:03,  5.02it/s]\n 28%|██▊       | 7/25 [00:01<00:03,  5.37it/s]\n 32%|███▏      | 8/25 [00:01<00:03,  5.62it/s]\n 36%|███▌      | 9/25 [00:02<00:02,  5.80it/s]\n 40%|████      | 10/25 [00:02<00:02,  5.92it/s]\n 44%|████▍     | 11/25 [00:02<00:02,  6.02it/s]\n 48%|████▊     | 12/25 [00:02<00:02,  6.09it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.13it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.16it/s]\n 60%|██████    | 15/25 [00:03<00:01,  6.17it/s]\n 64%|██████▍   | 16/25 [00:03<00:01,  6.18it/s]\n 68%|██████▊   | 17/25 [00:03<00:01,  6.19it/s]\n 72%|███████▏  | 18/25 [00:03<00:01,  6.21it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.21it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.22it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  6.22it/s]\n 88%|████████▊ | 22/25 [00:04<00:00,  6.22it/s]\n 92%|█████████▏| 23/25 [00:04<00:00,  6.22it/s]\n 96%|█████████▌| 24/25 [00:04<00:00,  6.22it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.22it/s]\n100%|██████████| 25/25 [00:04<00:00,  5.33it/s]",
  "metrics": {
    "predict_time": 24.594936,
    "total_time": 78.377459
  },
  "output": [
    "https://replicate.delivery/pbxt/9M1s6lwCzipmDRXNHasqQ8X0knAzX0uYbY9CRaY4lbSGHOjE/out-0.png"
  ],
  "started_at": "2024-01-16T00:59:45.927026Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ecwe6ntb5nap23xoa22athxasq",
    "cancel": "https://api.replicate.com/v1/predictions/ecwe6ntb5nap23xoa22athxasq/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

24.6 seconds

Tweak it ShareReport

Using seed: 11182
Ensuring enough disk space...
Free disk space: 1647913037824
Downloading weights: https://replicate.delivery/pbxt/5tWnKqhDTVKZBVpnQaZ9VNnrzXeRW8xSTcGaV2vI6oYrrbCJA/trained_model.tar
2024-01-16T00:59:46Z | INFO  | [ Initiating ] dest=/src/weights-cache/78ae52d934a92074 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/5tWnKqhDTVKZBVpnQaZ9VNnrzXeRW8xSTcGaV2vI6oYrrbCJA/trained_model.tar
2024-01-16T00:59:51Z | INFO  | [ Complete ] dest=/src/weights-cache/78ae52d934a92074 size="186 MB" total_elapsed=5.901s url=https://replicate.delivery/pbxt/5tWnKqhDTVKZBVpnQaZ9VNnrzXeRW8xSTcGaV2vI6oYrrbCJA/trained_model.tar
b''
Downloaded weights in 6.0366127490997314 seconds
Loading fine-tuned model
Does not have Unet. assume we are using LoRA
Loading Unet LoRA
Prompt: A <s0><s1> emoji of Joe Rogan, photorealistic, white background
txt2img mode
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Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

ikdrgnlb5urcgwof3hvgf7s4ri

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.4s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of Kanye West, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of Kanye West, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of Kanye West, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of Kanye West, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Kanye West, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of Kanye West, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Kanye West, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-22T17:31:00.824575Z",
  "created_at": "2023-12-22T17:30:55.423657Z",
  "data_removed": false,
  "error": null,
  "id": "ikdrgnlb5urcgwof3hvgf7s4ri",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of Kanye West, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 62327\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of Kanye West, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.31it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.27it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.25it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.25it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.26it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.26it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.26it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.26it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.26it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.27it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.27it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.27it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.27it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.27it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.27it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.27it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.27it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.26it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.27it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.27it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.27it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.27it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.26it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.26it/s]\n100%|██████████| 25/25 [00:03<00:00,  6.26it/s]\n100%|██████████| 25/25 [00:03<00:00,  6.26it/s]",
  "metrics": {
    "predict_time": 5.366092,
    "total_time": 5.400918
  },
  "output": [
    "https://replicate.delivery/pbxt/1OM5EMaHP95OJtnvbXA86JUxn7AK4WyvZ6bVxcAdjcG15NhE/out-0.png"
  ],
  "started_at": "2023-12-22T17:30:55.458483Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ikdrgnlb5urcgwof3hvgf7s4ri",
    "cancel": "https://api.replicate.com/v1/predictions/ikdrgnlb5urcgwof3hvgf7s4ri/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

q3nftbdbzqkxcrrup3wwg4gvx4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.5s

Created

about 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of Leonardo DiCaprio, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of Leonardo DiCaprio, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of Leonardo DiCaprio, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of Leonardo DiCaprio, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Leonardo DiCaprio, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of Leonardo DiCaprio, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Leonardo DiCaprio, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2024-02-02T14:05:14.542400Z",
  "created_at": "2024-02-02T14:05:09.076449Z",
  "data_removed": false,
  "error": null,
  "id": "q3nftbdbzqkxcrrup3wwg4gvx4",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of Leonardo DiCaprio, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 59415\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of Leonardo DiCaprio, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.27it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.25it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.23it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.22it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.22it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.22it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.22it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.21it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.20it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.20it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.20it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.21it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.22it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.23it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.23it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.23it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.23it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.24it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.25it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.25it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.25it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.25it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.25it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.25it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.24it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.23it/s]",
  "metrics": {
    "predict_time": 5.42932,
    "total_time": 5.465951
  },
  "output": [
    "https://replicate.delivery/pbxt/UT8c9eKOvAz4PaAsjmuyCWO2sZPEJHd5gIjPgn9YnT2MRVJJA/out-0.png"
  ],
  "started_at": "2024-02-02T14:05:09.113080Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/q3nftbdbzqkxcrrup3wwg4gvx4",
    "cancel": "https://api.replicate.com/v1/predictions/q3nftbdbzqkxcrrup3wwg4gvx4/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

fj7aqntb6fqox3jdcvkfkn2f64

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.4s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of Jeff Bezos, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of Jeff Bezos, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of Jeff Bezos, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of Jeff Bezos, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Jeff Bezos, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of Jeff Bezos, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of Jeff Bezos, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-22T17:32:51.191113Z",
  "created_at": "2023-12-22T17:32:45.755309Z",
  "data_removed": false,
  "error": null,
  "id": "fj7aqntb6fqox3jdcvkfkn2f64",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of Jeff Bezos, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 16900\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of Jeff Bezos, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.33it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.30it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.28it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.27it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.26it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.25it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.25it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.25it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.25it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.25it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.24it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.24it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.24it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.24it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.25it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.25it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.24it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.24it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.24it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.24it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.25it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.25it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.25it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.25it/s]\n100%|██████████| 25/25 [00:03<00:00,  6.25it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.25it/s]",
  "metrics": {
    "predict_time": 5.398268,
    "total_time": 5.435804
  },
  "output": [
    "https://replicate.delivery/pbxt/58Oof047mVyHaaaMtSDfKfU0xzE5pqH8xkJzYna9E6oFSvJkA/out-0.png"
  ],
  "started_at": "2023-12-22T17:32:45.792845Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fj7aqntb6fqox3jdcvkfkn2f64",
    "cancel": "https://api.replicate.com/v1/predictions/fj7aqntb6fqox3jdcvkfkn2f64/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

xhtght3bljg7tvb4itw36zfgza

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.5s

Created

about 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of David Beckham, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of David Beckham, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of David Beckham, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of David Beckham, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of David Beckham, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of David Beckham, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of David Beckham, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2024-02-02T14:08:25.570174Z",
  "created_at": "2024-02-02T14:08:20.115455Z",
  "data_removed": false,
  "error": null,
  "id": "xhtght3bljg7tvb4itw36zfgza",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of David Beckham, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 31635\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of David Beckham, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.33it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.29it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.26it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.26it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.25it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.24it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.23it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.24it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.24it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.24it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.24it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.24it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.23it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.23it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.24it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.24it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.23it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.23it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.22it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.21it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.22it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.22it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.22it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.22it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.22it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.23it/s]",
  "metrics": {
    "predict_time": 5.408674,
    "total_time": 5.454719
  },
  "output": [
    "https://replicate.delivery/pbxt/H7fImZUnMP0BPKQ0svAIIBUYtmefCX4f4RlGVU8pCV0iVqKJB/out-0.png"
  ],
  "started_at": "2024-02-02T14:08:20.161500Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xhtght3bljg7tvb4itw36zfgza",
    "cancel": "https://api.replicate.com/v1/predictions/xhtght3bljg7tvb4itw36zfgza/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

njebxadbjrk4zqvtr3suu3zxne

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

9.9s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of 2Pac rapping, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of 2Pac rapping, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of 2Pac rapping, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of 2Pac rapping, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of 2Pac rapping, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of 2Pac rapping, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of 2Pac rapping, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-22T19:18:13.503978Z",
  "created_at": "2023-12-22T19:18:03.560999Z",
  "data_removed": false,
  "error": null,
  "id": "njebxadbjrk4zqvtr3suu3zxne",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of 2Pac rapping, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 38194\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of 2Pac rapping, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.30it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.29it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.28it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.27it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.27it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.27it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.26it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.26it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.25it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.25it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.25it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.25it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.25it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.24it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.24it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.24it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.23it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.24it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.24it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.23it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.22it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.21it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.20it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.20it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.21it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.24it/s]",
  "metrics": {
    "predict_time": 5.416006,
    "total_time": 9.942979
  },
  "output": [
    "https://replicate.delivery/pbxt/V92RTL3aLI7COpyZYvcc6KzjKB33VMH8Ejeez0H7gXS0L5ESA/out-0.png"
  ],
  "started_at": "2023-12-22T19:18:08.087972Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/njebxadbjrk4zqvtr3suu3zxne",
    "cancel": "https://api.replicate.com/v1/predictions/njebxadbjrk4zqvtr3suu3zxne/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

lkoxpatbfuadpvt5gyppejdtha

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

7.3s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of a panda, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of a panda, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of a panda, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of a panda, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of a panda, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of a panda, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of a panda, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-22T19:19:11.691350Z",
  "created_at": "2023-12-22T19:19:04.378663Z",
  "data_removed": false,
  "error": null,
  "id": "lkoxpatbfuadpvt5gyppejdtha",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of a panda, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 5604\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of a panda, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.30it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.29it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.28it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.27it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.27it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.27it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.26it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.25it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.25it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.25it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.25it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.24it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.25it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.24it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.24it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.23it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.22it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.22it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.21it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.22it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.22it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.22it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.21it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.21it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.22it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.24it/s]",
  "metrics": {
    "predict_time": 5.417657,
    "total_time": 7.312687
  },
  "output": [
    "https://replicate.delivery/pbxt/NR3wbbOfOL2QKieybvHEq9Twqamp0ZZFBfTUgDnTHfs7ykTIB/out-0.png"
  ],
  "started_at": "2023-12-22T19:19:06.273693Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/lkoxpatbfuadpvt5gyppejdtha",
    "cancel": "https://api.replicate.com/v1/predictions/lkoxpatbfuadpvt5gyppejdtha/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

Tweak it ShareReport

Prediction

martintmv-git/realistic-emoji:2cb26fa1

Model

martintmv-git/realistic-emoji:2cb26fa1

ID

7onhcctblmwexduqxkkqvo4igm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.4s

Created

over 1 year ago

Input

width: 768
height: 768
prompt: A TOK emoji of a llama, photorealistic, white background
refine: no_refiner
scheduler: K_EULER
lora_scale: 0.6
num_outputs: 1
guidance_scale: 7.5
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 25

{
  "width": 768,
  "height": 768,
  "prompt": "A TOK emoji of a llama, photorealistic, white background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "A TOK emoji of a llama, photorealistic, white background",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run martintmv-git/realistic-emoji using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "martintmv-git/realistic-emoji:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    input={
        "width": 768,
        "height": 768,
        "prompt": "A TOK emoji of a llama, photorealistic, white background",
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run martintmv-git/realistic-emoji 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": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of a llama, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="A TOK emoji of a llama, photorealistic, white background"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/martintmv-git/realistic-emoji@sha256:2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "A TOK emoji of a llama, photorealistic, white background",
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "lora_scale": 0.6,
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-12-22T19:20:17.132002Z",
  "created_at": "2023-12-22T19:20:11.708471Z",
  "data_removed": false,
  "error": null,
  "id": "7onhcctblmwexduqxkkqvo4igm",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "A TOK emoji of a llama, photorealistic, white background",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 24923\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> emoji of a llama, photorealistic, white background\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:03,  6.29it/s]\n  8%|▊         | 2/25 [00:00<00:03,  6.27it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.25it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  6.25it/s]\n 20%|██        | 5/25 [00:00<00:03,  6.25it/s]\n 24%|██▍       | 6/25 [00:00<00:03,  6.25it/s]\n 28%|██▊       | 7/25 [00:01<00:02,  6.24it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  6.23it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  6.23it/s]\n 40%|████      | 10/25 [00:01<00:02,  6.23it/s]\n 44%|████▍     | 11/25 [00:01<00:02,  6.22it/s]\n 48%|████▊     | 12/25 [00:01<00:02,  6.21it/s]\n 52%|█████▏    | 13/25 [00:02<00:01,  6.21it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  6.20it/s]\n 60%|██████    | 15/25 [00:02<00:01,  6.20it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  6.20it/s]\n 68%|██████▊   | 17/25 [00:02<00:01,  6.22it/s]\n 72%|███████▏  | 18/25 [00:02<00:01,  6.21it/s]\n 76%|███████▌  | 19/25 [00:03<00:00,  6.22it/s]\n 80%|████████  | 20/25 [00:03<00:00,  6.22it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  6.22it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  6.22it/s]\n 92%|█████████▏| 23/25 [00:03<00:00,  6.22it/s]\n 96%|█████████▌| 24/25 [00:03<00:00,  6.22it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.22it/s]\n100%|██████████| 25/25 [00:04<00:00,  6.22it/s]",
  "metrics": {
    "predict_time": 5.364841,
    "total_time": 5.423531
  },
  "output": [
    "https://replicate.delivery/pbxt/s4YTIg0lYgb5IZrDPYKIvf9qeM0aXEdoDkG8fhKCjNmhbyJkA/out-0.png"
  ],
  "started_at": "2023-12-22T19:20:11.767161Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/7onhcctblmwexduqxkkqvo4igm",
    "cancel": "https://api.replicate.com/v1/predictions/7onhcctblmwexduqxkkqvo4igm/cancel"
  },
  "version": "2cb26fa1db75e2d61b944d35fb239005d07118ef8047fe2f8d68ed5767957abe"
}

Generated in

5.4 seconds

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