chenxwh/deepseek-vl2:8ea88789 | Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

chenxwh /deepseek-vl2:8ea88789

Input

text

string

Shift + Return to add a new line

<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.

Input text.

Default: "Describe this image."

image1

*file

Preview

First image

image2

file

Preview

Optional, second image for multiple images image2text

image3

file

Optional, third image for multiple images image2text

max_new_tokens

integer

(minimum: 0, maximum: 4096)

The maximum numbers of tokens to generate

Default: 2048

temperature

number

The value used to modulate the probabilities of the next token. Set the temperature to 0 for deterministic generation

Default: 0.1

top_p

number

If set to float < 1, only the smallest set of most probable tokens with probabilities that add up to top_p or higher are kept for generation.

Default: 0.9

repetition_penalty

number

(minimum: 0, maximum: 2)

Repetition penalty

Default: 1.1

Run this model in Node.js with one line of code:

npx create-replicate --model=chenxwh/deepseek-vl2

or set up a project from scratch

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 chenxwh/deepseek-vl2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/deepseek-vl2:8ea887897e772107ce53f3a7fa4850e78ae88b2b73ff854b4700db9f0d59c7cb",
  {
    input: {
      text: "<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.",
      top_p: 0.9,
      image1: "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/incontext_visual_grounding_1.jpeg",
      image2: "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/icl_vg_2.jpeg",
      temperature: 0.1,
      max_new_tokens: 2048,
      repetition_penalty: 1.1
    }
  }
);

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 chenxwh/deepseek-vl2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/deepseek-vl2:8ea887897e772107ce53f3a7fa4850e78ae88b2b73ff854b4700db9f0d59c7cb",
    input={
        "text": "<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.",
        "top_p": 0.9,
        "image1": "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/incontext_visual_grounding_1.jpeg",
        "image2": "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/icl_vg_2.jpeg",
        "temperature": 0.1,
        "max_new_tokens": 2048,
        "repetition_penalty": 1.1
    }
)
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 chenxwh/deepseek-vl2 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": "chenxwh/deepseek-vl2:8ea887897e772107ce53f3a7fa4850e78ae88b2b73ff854b4700db9f0d59c7cb",
    "input": {
      "text": "<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.",
      "top_p": 0.9,
      "image1": "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/incontext_visual_grounding_1.jpeg",
      "image2": "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/icl_vg_2.jpeg",
      "temperature": 0.1,
      "max_new_tokens": 2048,
      "repetition_penalty": 1.1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

img_out

text_out

<|ref|>bicolor cat<|/ref|><|det|>[[81, 273, 906, 820]]<|/det|><｜end▁of▁sentence｜>

{
  "completed_at": "2024-12-29T15:54:37.402571Z",
  "created_at": "2024-12-29T15:53:59.492000Z",
  "data_removed": false,
  "error": null,
  "id": "g7g5qnefrhrma0cm2cft94nwvw",
  "input": {
    "text": "<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.",
    "top_p": 0.9,
    "image1": "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/incontext_visual_grounding_1.jpeg",
    "image2": "https://raw.githubusercontent.com/deepseek-ai/DeepSeek-VL2/refs/heads/main/images/icl_vg_2.jpeg",
    "temperature": 0.1,
    "max_new_tokens": 2048,
    "repetition_penalty": 1.1
  },
  "logs": "2024-12-29 15:54:29,706 - gradio_logger - INFO - ================================================================================\n2024-12-29 15:54:29,706 - gradio_logger - INFO - <|User|>: <image>\n<image>\n<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.\n<|Assistant|>:\n[{'role': '<|User|>', 'content': '<image>\\n<image>\\n<|grounding|>In the first image, an object within the red rectangle is marked. Locate the object of the same category in the second image.', 'images': [<PIL.Image.Image image mode=RGB size=1738x1146 at 0x7250C05E17D0>, <PIL.Image.Image image mode=RGB size=868x1160 at 0x7250C0592D10>]}, {'role': '<|Assistant|>', 'content': ''}]",
  "metrics": {
    "predict_time": 8.492753054,
    "total_time": 37.910571
  },
  "output": {
    "img_out": "https://replicate.delivery/xezq/zrbPK8uiALqaOdMRCRocFTElQZonyP82Ta1pC2pgHcbvi8fJA/out.png",
    "text_out": "<|ref|>bicolor cat<|/ref|><|det|>[[81, 273, 906, 820]]<|/det|><｜end▁of▁sentence｜>"
  },
  "started_at": "2024-12-29T15:54:28.909818Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/g7g5qnefrhrma0cm2cft94nwvw",
    "cancel": "https://api.replicate.com/v1/predictions/g7g5qnefrhrma0cm2cft94nwvw/cancel"
  },
  "version": "8ea887897e772107ce53f3a7fa4850e78ae88b2b73ff854b4700db9f0d59c7cb"
}

Generated in

8.5 seconds

Tweak it Share Report