fofr/pulid-lightning:a0321a0c – Run with an API on Replicate

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fofr /pulid-lightning:a0321a0c

Playground API

Input

face_image

*file

The face image to use for the generation

prompt

string

Shift + Return to add a new line

You might need to include a gender in the prompt to get the desired result

Default: "A photo of a person"

negative_prompt

string

Shift + Return to add a new line

Things you do not want to see in your image

Default: ""

width

integer

Width of the output image (ignored if structure image given)

Default: 1024

height

integer

Height of the output image (ignored if structure image given)

Default: 1024

checkpoint_model

string

Model to use for the generation

Default: "default"

face_style

string

Style of the face

Default: "high-fidelity"

number_of_images

integer

(minimum: 1, maximum: 10)

Number of images to generate

Default: 1

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

seed

integer

Set a seed for reproducibility. Random by default.

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

npx create-replicate --model=fofr/pulid-lightning

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 fofr/pulid-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/pulid-lightning:a0321a0cef20aa9e0828f8a9873dc3fd019266bc929f2fb8d70b76d52e122382",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A photo of a person",
      face_image: "https://replicate.delivery/pbxt/Kt8cUyAZgWIqv4GEW38rhHgqhVQp5vKkkvs1xgsaijicnz4b/guy.webp",
      face_style: "high-fidelity",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      checkpoint_model: "realistic",
      number_of_images: 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 fofr/pulid-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/pulid-lightning:a0321a0cef20aa9e0828f8a9873dc3fd019266bc929f2fb8d70b76d52e122382",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A photo of a person",
        "face_image": "https://replicate.delivery/pbxt/Kt8cUyAZgWIqv4GEW38rhHgqhVQp5vKkkvs1xgsaijicnz4b/guy.webp",
        "face_style": "high-fidelity",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "checkpoint_model": "realistic",
        "number_of_images": 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 fofr/pulid-lightning 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": "a0321a0cef20aa9e0828f8a9873dc3fd019266bc929f2fb8d70b76d52e122382",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A photo of a person",
      "face_image": "https://replicate.delivery/pbxt/Kt8cUyAZgWIqv4GEW38rhHgqhVQp5vKkkvs1xgsaijicnz4b/guy.webp",
      "face_style": "high-fidelity",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "checkpoint_model": "realistic",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-05-09T10:21:44.078988Z",
  "created_at": "2024-05-09T10:21:35.511000Z",
  "data_removed": false,
  "error": null,
  "id": "89ga3jk5jxrgg0cfbkfvj6hjb0",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A photo of a person",
    "face_image": "https://replicate.delivery/pbxt/Kt8cUyAZgWIqv4GEW38rhHgqhVQp5vKkkvs1xgsaijicnz4b/guy.webp",
    "face_style": "high-fidelity",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "checkpoint_model": "realistic",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 3375421544\nChecking inputs\n✅ /tmp/inputs/image.png\n====================================\nChecking weights\n✅ ip-adapter_pulid_sdxl_fp16.safetensors\n✅ dreamshaperXL_lightningDPMSDE.safetensors\n✅ models/antelopev2\n✅ Juggernaut_RunDiffusionPhoto2_Lightning_4Steps.safetensors\n====================================\nRunning workflow\ngot prompt\nExecuting node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple\nmodel_type EPS\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nclip missing: ['clip_l.logit_scale', 'clip_l.transformer.text_projection.weight', 'clip_g.logit_scale']\nloaded straight to GPU\nRequested to load SDXL\nLoading 1 new model\nExecuting node 33, title: Apply Pulid, class type: ApplyPulid\nExecuting node 22, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nRequested to load SDXLClipModel\nLoading 1 new model\nExecuting node 23, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 3, title: KSampler, class type: KSampler\nRequested to load SDXL\nLoading 1 new model\n  0%|          | 0/4 [00:00<?, ?it/s]\n 25%|██▌       | 1/4 [00:00<00:01,  1.93it/s]\n 50%|█████     | 2/4 [00:01<00:01,  1.84it/s]\n 75%|███████▌  | 3/4 [00:01<00:00,  1.90it/s]\n100%|██████████| 4/4 [00:01<00:00,  2.41it/s]\n100%|██████████| 4/4 [00:01<00:00,  2.19it/s]\nRequested to load AutoencoderKL\nLoading 1 new model\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 47, title: Save Image, class type: SaveImage\nPrompt executed in 6.29 seconds\noutputs:  {'47': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 8.531323,
    "total_time": 8.567988
  },
  "output": [
    "https://replicate.delivery/pbxt/g2Kybo6t34pCJ5zSewsh6ZiFKHeA23MlbYqmBVpMARy3WlySA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-05-09T10:21:35.547665Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/89ga3jk5jxrgg0cfbkfvj6hjb0",
    "cancel": "https://api.replicate.com/v1/predictions/89ga3jk5jxrgg0cfbkfvj6hjb0/cancel"
  },
  "version": "a0321a0cef20aa9e0828f8a9873dc3fd019266bc929f2fb8d70b76d52e122382"
}

Generated in

8.5 seconds

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