Prediction

Model

usamaehsan/multi-controlnet-x-ip-adapter-vision-v2:7a904d90

ku3hmytbenh7kbild7unj7ccw4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3m 39s

Created

almost 2 years ago

Webhook

–

Input

prompt: jungle
negative_prompt: Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
num_inference_steps: 20
guidance_scale: 7
eta: 0
guess_mode: false
disable_safety_check: false
num_outputs: 1
max_width: 512
max_height: 512
scheduler: DDIM
lineart_conditioning_scale: 1
scribble_conditioning_scale: 1
tile_conditioning_scale: 1
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1
sorted_controlnets: tile, inpainting, lineart
ip_adapter_ckpt: ip-adapter_sd15.bin
ip_adapter_weight: 1
img2img_strength: 0.5
add_more_detail_lora_scale: 0.5
detail_tweaker_lora_weight: 0
film_grain_lora_weight: 0
epi_noise_offset_lora_weight: 0
color_temprature_slider_lora_weight: 0

{
  "add_more_detail_lora_scale": 0.5,
  "brightness_conditioning_scale": 1,
  "color_temprature_slider_lora_weight": 0,
  "detail_tweaker_lora_weight": 0,
  "disable_safety_check": false,
  "epi_noise_offset_lora_weight": 0,
  "eta": 0,
  "film_grain_lora_weight": 0,
  "guess_mode": false,
  "guidance_scale": 7,
  "img2img_strength": 0.5,
  "inpainting_conditioning_scale": 1,
  "ip_adapter_ckpt": "ip-adapter_sd15.bin",
  "ip_adapter_weight": 1,
  "lineart_conditioning_scale": 1,
  "max_height": 512,
  "max_width": 512,
  "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "num_inference_steps": 20,
  "num_outputs": 1,
  "prompt": "jungle",
  "scheduler": "DDIM",
  "scribble_conditioning_scale": 1,
  "sorted_controlnets": "tile, inpainting, lineart",
  "tile_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_cXL**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

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

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

Run usamaehsan/multi-controlnet-x-ip-adapter-vision-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "usamaehsan/multi-controlnet-x-ip-adapter-vision-v2:7a904d90b4a018eeb8e47dd850470ef651a6f4563fa20dc8b62deb0f344cb13a",
  {
    input: {
      add_more_detail_lora_scale: 0.5,
      brightness_conditioning_scale: 1,
      color_temprature_slider_lora_weight: 0,
      detail_tweaker_lora_weight: 0,
      disable_safety_check: false,
      epi_noise_offset_lora_weight: 0,
      eta: 0,
      film_grain_lora_weight: 0,
      guess_mode: false,
      guidance_scale: 7,
      img2img_strength: 0.5,
      inpainting_conditioning_scale: 1,
      ip_adapter_ckpt: "ip-adapter_sd15.bin",
      ip_adapter_weight: 1,
      lineart_conditioning_scale: 1,
      max_height: 512,
      max_width: 512,
      negative_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      num_inference_steps: 20,
      num_outputs: 1,
      prompt: "jungle",
      scheduler: "DDIM",
      scribble_conditioning_scale: 1,
      sorted_controlnets: "tile, inpainting, lineart",
      tile_conditioning_scale: 1
    }
  }
);

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

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

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_cXL**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run usamaehsan/multi-controlnet-x-ip-adapter-vision-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "usamaehsan/multi-controlnet-x-ip-adapter-vision-v2:7a904d90b4a018eeb8e47dd850470ef651a6f4563fa20dc8b62deb0f344cb13a",
    input={
        "add_more_detail_lora_scale": 0.5,
        "brightness_conditioning_scale": 1,
        "color_temprature_slider_lora_weight": 0,
        "detail_tweaker_lora_weight": 0,
        "disable_safety_check": False,
        "epi_noise_offset_lora_weight": 0,
        "eta": 0,
        "film_grain_lora_weight": 0,
        "guess_mode": False,
        "guidance_scale": 7,
        "img2img_strength": 0.5,
        "inpainting_conditioning_scale": 1,
        "ip_adapter_ckpt": "ip-adapter_sd15.bin",
        "ip_adapter_weight": 1,
        "lineart_conditioning_scale": 1,
        "max_height": 512,
        "max_width": 512,
        "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "num_inference_steps": 20,
        "num_outputs": 1,
        "prompt": "jungle",
        "scheduler": "DDIM",
        "scribble_conditioning_scale": 1,
        "sorted_controlnets": "tile, inpainting, lineart",
        "tile_conditioning_scale": 1
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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=r8_cXL**********************************

This is your API token. Keep it to yourself.

Run usamaehsan/multi-controlnet-x-ip-adapter-vision-v2 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": "usamaehsan/multi-controlnet-x-ip-adapter-vision-v2:7a904d90b4a018eeb8e47dd850470ef651a6f4563fa20dc8b62deb0f344cb13a",
    "input": {
      "add_more_detail_lora_scale": 0.5,
      "brightness_conditioning_scale": 1,
      "color_temprature_slider_lora_weight": 0,
      "detail_tweaker_lora_weight": 0,
      "disable_safety_check": false,
      "epi_noise_offset_lora_weight": 0,
      "eta": 0,
      "film_grain_lora_weight": 0,
      "guess_mode": false,
      "guidance_scale": 7,
      "img2img_strength": 0.5,
      "inpainting_conditioning_scale": 1,
      "ip_adapter_ckpt": "ip-adapter_sd15.bin",
      "ip_adapter_weight": 1,
      "lineart_conditioning_scale": 1,
      "max_height": 512,
      "max_width": 512,
      "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "num_inference_steps": 20,
      "num_outputs": 1,
      "prompt": "jungle",
      "scheduler": "DDIM",
      "scribble_conditioning_scale": 1,
      "sorted_controlnets": "tile, inpainting, lineart",
      "tile_conditioning_scale": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "ku3hmytbenh7kbild7unj7ccw4",
  "model": "usamaehsan/multi-controlnet-x-ip-adapter-vision-v2",
  "version": "7a904d90b4a018eeb8e47dd850470ef651a6f4563fa20dc8b62deb0f344cb13a",
  "input": {
    "add_more_detail_lora_scale": 0.5,
    "brightness_conditioning_scale": 1,
    "color_temprature_slider_lora_weight": 0,
    "detail_tweaker_lora_weight": 0,
    "disable_safety_check": false,
    "epi_noise_offset_lora_weight": 0,
    "eta": 0,
    "film_grain_lora_weight": 0,
    "guess_mode": false,
    "guidance_scale": 7,
    "img2img_strength": 0.5,
    "inpainting_conditioning_scale": 1,
    "ip_adapter_ckpt": "ip-adapter_sd15.bin",
    "ip_adapter_weight": 1,
    "lineart_conditioning_scale": 1,
    "max_height": 512,
    "max_width": 512,
    "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
    "num_inference_steps": 20,
    "num_outputs": 1,
    "prompt": "jungle",
    "scheduler": "DDIM",
    "scribble_conditioning_scale": 1,
    "sorted_controlnets": "tile, inpainting, lineart",
    "tile_conditioning_scale": 1
  },
  "logs": "Time taken until build pipe: 0.00 seconds\nusing ip adapter:: example/cat.png\nloading ip adapter\nTime taken to load IP adapter model: 0.01 seconds\nTime taken to load image encoder model: 0.00 seconds\nTime taken to build pipe: 0.24 seconds\nTime taken to apply scheduler-- : 0.00 seconds\nTime taken to cuda-- : 0.00 seconds\nUsing seed: 25977\nTime taken until ip -- : 0.00 seconds\nTime taken to load ip-- : 2.16 seconds\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:04,  4.72it/s]\n 15%|█▌        | 3/20 [00:00<00:01,  9.93it/s]\n 25%|██▌       | 5/20 [00:00<00:01, 12.53it/s]\n 35%|███▌      | 7/20 [00:00<00:00, 14.09it/s]\n 45%|████▌     | 9/20 [00:00<00:00, 15.05it/s]\n 55%|█████▌    | 11/20 [00:00<00:00, 15.58it/s]\n 65%|██████▌   | 13/20 [00:00<00:00, 15.88it/s]\n 75%|███████▌  | 15/20 [00:01<00:00, 16.19it/s]\n 85%|████████▌ | 17/20 [00:01<00:00, 16.38it/s]\n 95%|█████████▌| 19/20 [00:01<00:00, 16.14it/s]\n100%|██████████| 20/20 [00:01<00:00, 14.73it/s]\nTime taken to generate image-- : 1.47 seconds\n/root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/peft/tuners/lora/layer.py:595: UserWarning: Already unmerged. Nothing to do.\nwarnings.warn(\"Already unmerged. Nothing to do.\")\n/root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/peft/tuners/lora/layer.py:256: UserWarning: Already unmerged. Nothing to do.\nwarnings.warn(\"Already unmerged. Nothing to do.\")",
  "output": [
    "https://replicate.delivery/pbxt/ZTKQ3LINbAZiMpJnOjtIUWreyPM62kXcpW0V33SAQ5qwC1MJA/output_0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-02-23T19:14:15.618963Z",
  "started_at": "2024-02-23T19:17:49.448848Z",
  "completed_at": "2024-02-23T19:17:54.685343Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/ku3hmytbenh7kbild7unj7ccw4/cancel",
    "get": "https://api.replicate.com/v1/predictions/ku3hmytbenh7kbild7unj7ccw4"
  },
  "metrics": {
    "predict_time": 5.236495,
    "total_time": 219.06638
  }
}

Generated in

5.2 seconds

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