usamaehsan / controlnet-x-majic-mix-realistic-x-ip-adapter

works with inpainting and multi-controlnet + single-controlnet || ip-adapter + without ip adapter

Public
23.8K runs
L40S

Prediction

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a

Model

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c838

4sxrritbmjnzocpetw4woxkcq4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.4s

Created

over 1 year ago

Input

eta: 0
prompt: cat
max_width: 512
scheduler: DDIM
guess_mode
max_height: 512
num_outputs: 1
lineart_image: output.png
guidance_scale: 8.72
negative_prompt: (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck
ip_adapter_image: Cool-PC-Wallpapers-HD-2.jpg
ip_adapter_weight: 0.5
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 10
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 0.5
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "cat",
  "max_width": 512,
  "scheduler": "DDIM",
  "guess_mode": false,
  "max_height": 512,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
  "guidance_scale": 8.72,
  "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
  "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
  "ip_adapter_weight": 0.5,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 10,
  "disable_safety_check": true,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 0.5,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

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

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

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

const output = await replicate.run(
  "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a",
  {
    input: {
      eta: 0,
      prompt: "cat",
      max_width: 512,
      scheduler: "DDIM",
      guess_mode: false,
      max_height: 512,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      guidance_scale: 8.72,
      negative_prompt: "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
      ip_adapter_image: "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      ip_adapter_weight: 0.5,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 10,
      disable_safety_check: true,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 0.5,
      brightness_conditioning_scale: 1,
      inpainting_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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a",
    input={
        "eta": 0,
        "prompt": "cat",
        "max_width": 512,
        "scheduler": "DDIM",
        "guess_mode": False,
        "max_height": 512,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
        "guidance_scale": 8.72,
        "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
        "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
        "ip_adapter_weight": 0.5,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 10,
        "disable_safety_check": True,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 0.5,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

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

Run usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter 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/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a",
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 512,
      "scheduler": "DDIM",
      "guess_mode": false,
      "max_height": 512,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.5,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 10,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 0.5,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a \
  -i 'eta=0' \
  -i 'prompt="cat"' \
  -i 'max_width=512' \
  -i 'scheduler="DDIM"' \
  -i 'guess_mode=false' \
  -i 'max_height=512' \
  -i 'num_outputs=1' \
  -i 'lineart_image="https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png"' \
  -i 'guidance_scale=8.72' \
  -i 'negative_prompt="(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck"' \
  -i 'ip_adapter_image="https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg"' \
  -i 'ip_adapter_weight=0.5' \
  -i 'sorted_controlnets="tile, inpainting, lineart"' \
  -i 'num_inference_steps=10' \
  -i 'disable_safety_check=true' \
  -i 'tile_conditioning_scale=1' \
  -i 'lineart_conditioning_scale=0.5' \
  -i 'brightness_conditioning_scale=1' \
  -i 'inpainting_conditioning_scale=1'

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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 512,
      "scheduler": "DDIM",
      "guess_mode": false,
      "max_height": 512,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.5,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 10,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 0.5,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  http://localhost:5000/predictions

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

Output

seed-47924.png

{
  "completed_at": "2023-11-23T21:10:32.212600Z",
  "created_at": "2023-11-23T21:10:28.784978Z",
  "data_removed": false,
  "error": null,
  "id": "4sxrritbmjnzocpetw4woxkcq4",
  "input": {
    "eta": 0,
    "prompt": "cat",
    "max_width": 512,
    "scheduler": "DDIM",
    "guess_mode": false,
    "max_height": 512,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
    "guidance_scale": 8.72,
    "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
    "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
    "ip_adapter_weight": 0.5,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 10,
    "disable_safety_check": true,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 0.5,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "loading ip adapter\nTime taken to load IP adapter model: 0.01 seconds\nTime taken to load image encoder model: 0.00 seconds\nUsing seed: 47924\nip adapter---\n  0%|          | 0/10 [00:00<?, ?it/s]\n 20%|██        | 2/10 [00:00<00:00, 17.36it/s]\n 40%|████      | 4/10 [00:00<00:00, 17.28it/s]\n 60%|██████    | 6/10 [00:00<00:00, 17.24it/s]\n 80%|████████  | 8/10 [00:00<00:00, 17.24it/s]\n100%|██████████| 10/10 [00:00<00:00, 17.23it/s]\n100%|██████████| 10/10 [00:00<00:00, 17.24it/s]\nsize:  (512, 512)",
  "metrics": {
    "predict_time": 3.38674,
    "total_time": 3.427622
  },
  "output": [
    "https://replicate.delivery/pbxt/xBJzYCI9BqJJGZ3XeA90venn5NCXC7M52XnvUsEuw2EHHX7RA/seed-47924.png"
  ],
  "started_at": "2023-11-23T21:10:28.825860Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/4sxrritbmjnzocpetw4woxkcq4",
    "cancel": "https://api.replicate.com/v1/predictions/4sxrritbmjnzocpetw4woxkcq4/cancel"
  },
  "version": "f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a"
}

Generated in

3.4 seconds

Tweak it ShareReport

Prediction

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a

Model

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c838

m4yd2albn6flhdjhgwejdp3sry

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.8s

Created

over 1 year ago

Input

eta: 0
prompt: high quality
max_width: 512
scheduler: K_EULER_ANCESTRAL
guess_mode
max_height: 512
num_outputs: 1
lineart_image: WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg
guidance_scale: 8.72
negative_prompt: (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck
ip_adapter_image: statue.png
ip_adapter_weight: 0.4
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 10
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 0.8
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "high quality",
  "max_width": 512,
  "scheduler": "K_EULER_ANCESTRAL",
  "guess_mode": false,
  "max_height": 512,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JvfTOhtdWLGlWKN16tLwxyOLT9HW2Uk8asepRPczI4Fpuls1/WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg",
  "guidance_scale": 8.72,
  "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
  "ip_adapter_image": "https://replicate.delivery/pbxt/JvfTOmGOsUo5ihMhBB4bFR6dI13fBB6GwtsHarqsjXpDc1ry/statue.png",
  "ip_adapter_weight": 0.4,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 10,
  "disable_safety_check": true,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 0.8,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

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

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

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

const output = await replicate.run(
  "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a",
  {
    input: {
      eta: 0,
      prompt: "high quality",
      max_width: 512,
      scheduler: "K_EULER_ANCESTRAL",
      guess_mode: false,
      max_height: 512,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JvfTOhtdWLGlWKN16tLwxyOLT9HW2Uk8asepRPczI4Fpuls1/WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg",
      guidance_scale: 8.72,
      negative_prompt: "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
      ip_adapter_image: "https://replicate.delivery/pbxt/JvfTOmGOsUo5ihMhBB4bFR6dI13fBB6GwtsHarqsjXpDc1ry/statue.png",
      ip_adapter_weight: 0.4,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 10,
      disable_safety_check: true,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 0.8,
      brightness_conditioning_scale: 1,
      inpainting_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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a",
    input={
        "eta": 0,
        "prompt": "high quality",
        "max_width": 512,
        "scheduler": "K_EULER_ANCESTRAL",
        "guess_mode": False,
        "max_height": 512,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JvfTOhtdWLGlWKN16tLwxyOLT9HW2Uk8asepRPczI4Fpuls1/WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg",
        "guidance_scale": 8.72,
        "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
        "ip_adapter_image": "https://replicate.delivery/pbxt/JvfTOmGOsUo5ihMhBB4bFR6dI13fBB6GwtsHarqsjXpDc1ry/statue.png",
        "ip_adapter_weight": 0.4,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 10,
        "disable_safety_check": True,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 0.8,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

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

Run usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter 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/controlnet-x-majic-mix-realistic-x-ip-adapter:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a",
    "input": {
      "eta": 0,
      "prompt": "high quality",
      "max_width": 512,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 512,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfTOhtdWLGlWKN16tLwxyOLT9HW2Uk8asepRPczI4Fpuls1/WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg",
      "guidance_scale": 8.72,
      "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfTOmGOsUo5ihMhBB4bFR6dI13fBB6GwtsHarqsjXpDc1ry/statue.png",
      "ip_adapter_weight": 0.4,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 10,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 0.8,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a \
  -i 'eta=0' \
  -i 'prompt="high quality"' \
  -i 'max_width=512' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'guess_mode=false' \
  -i 'max_height=512' \
  -i 'num_outputs=1' \
  -i 'lineart_image="https://replicate.delivery/pbxt/JvfTOhtdWLGlWKN16tLwxyOLT9HW2Uk8asepRPczI4Fpuls1/WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg"' \
  -i 'guidance_scale=8.72' \
  -i 'negative_prompt="(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck"' \
  -i 'ip_adapter_image="https://replicate.delivery/pbxt/JvfTOmGOsUo5ihMhBB4bFR6dI13fBB6GwtsHarqsjXpDc1ry/statue.png"' \
  -i 'ip_adapter_weight=0.4' \
  -i 'sorted_controlnets="tile, inpainting, lineart"' \
  -i 'num_inference_steps=10' \
  -i 'disable_safety_check=true' \
  -i 'tile_conditioning_scale=1' \
  -i 'lineart_conditioning_scale=0.8' \
  -i 'brightness_conditioning_scale=1' \
  -i 'inpainting_conditioning_scale=1'

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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "eta": 0,
      "prompt": "high quality",
      "max_width": 512,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 512,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfTOhtdWLGlWKN16tLwxyOLT9HW2Uk8asepRPczI4Fpuls1/WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg",
      "guidance_scale": 8.72,
      "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfTOmGOsUo5ihMhBB4bFR6dI13fBB6GwtsHarqsjXpDc1ry/statue.png",
      "ip_adapter_weight": 0.4,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 10,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 0.8,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  http://localhost:5000/predictions

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

Output

seed-19538.png

{
  "completed_at": "2023-11-23T21:21:06.692354Z",
  "created_at": "2023-11-23T21:21:02.946553Z",
  "data_removed": false,
  "error": null,
  "id": "m4yd2albn6flhdjhgwejdp3sry",
  "input": {
    "eta": 0,
    "prompt": "high quality",
    "max_width": 512,
    "scheduler": "K_EULER_ANCESTRAL",
    "guess_mode": false,
    "max_height": 512,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JvfTOhtdWLGlWKN16tLwxyOLT9HW2Uk8asepRPczI4Fpuls1/WhatsApp%20Image%202023-05-30%20at%206.15.08%20PM.jpeg",
    "guidance_scale": 8.72,
    "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
    "ip_adapter_image": "https://replicate.delivery/pbxt/JvfTOmGOsUo5ihMhBB4bFR6dI13fBB6GwtsHarqsjXpDc1ry/statue.png",
    "ip_adapter_weight": 0.4,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 10,
    "disable_safety_check": true,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 0.8,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "loading ip adapter\nTime taken to load IP adapter model: 0.01 seconds\nTime taken to load image encoder model: 0.00 seconds\nUsing seed: 19538\nip adapter---\n  0%|          | 0/10 [00:00<?, ?it/s]\n 30%|███       | 3/10 [00:00<00:00, 25.11it/s]\n 60%|██████    | 6/10 [00:00<00:00, 25.27it/s]\n 90%|█████████ | 9/10 [00:00<00:00, 25.25it/s]\n100%|██████████| 10/10 [00:00<00:00, 25.06it/s]\nsize:  (280, 512)",
  "metrics": {
    "predict_time": 3.70769,
    "total_time": 3.745801
  },
  "output": [
    "https://replicate.delivery/pbxt/hSd10qE6CBLMJpKtZUAKynXBvyOpNsOLtqu33zWnYvdQ01eIA/seed-19538.png"
  ],
  "started_at": "2023-11-23T21:21:02.984664Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/m4yd2albn6flhdjhgwejdp3sry",
    "cancel": "https://api.replicate.com/v1/predictions/m4yd2albn6flhdjhgwejdp3sry/cancel"
  },
  "version": "f0d7c8388e049dd6fbed771dfa23c248c1380e73649ca022d32dda8cb434f00a"
}

Generated in

3.7 seconds

Tweak it ShareReport

Prediction

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:8deeafc0da08d1439efdccadeb73eee9c25c6eef48ee90165608d39b3ab8c4cb

Model

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:8deeafc0

4mcy3ttbwhhjkp2wflcptgn544

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

6.2s

Created

over 1 year ago

Input

eta: 0
prompt: cat
max_width: 712
scheduler: K_EULER_ANCESTRAL
guess_mode
max_height: 712
num_outputs: 1
lineart_image: output.png
guidance_scale: 8.72
negative_prompt: (worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,
ip_adapter_image: Cool-PC-Wallpapers-HD-2.jpg
ip_adapter_weight: 0.3
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 30
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 1.2
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "cat",
  "max_width": 712,
  "scheduler": "K_EULER_ANCESTRAL",
  "guess_mode": false,
  "max_height": 712,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
  "guidance_scale": 8.72,
  "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
  "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
  "ip_adapter_weight": 0.3,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 30,
  "disable_safety_check": true,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 1.2,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

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

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

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

const output = await replicate.run(
  "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:8deeafc0da08d1439efdccadeb73eee9c25c6eef48ee90165608d39b3ab8c4cb",
  {
    input: {
      eta: 0,
      prompt: "cat",
      max_width: 712,
      scheduler: "K_EULER_ANCESTRAL",
      guess_mode: false,
      max_height: 712,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      guidance_scale: 8.72,
      negative_prompt: "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      ip_adapter_image: "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      ip_adapter_weight: 0.3,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 30,
      disable_safety_check: true,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 1.2,
      brightness_conditioning_scale: 1,
      inpainting_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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:8deeafc0da08d1439efdccadeb73eee9c25c6eef48ee90165608d39b3ab8c4cb",
    input={
        "eta": 0,
        "prompt": "cat",
        "max_width": 712,
        "scheduler": "K_EULER_ANCESTRAL",
        "guess_mode": False,
        "max_height": 712,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
        "guidance_scale": 8.72,
        "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
        "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
        "ip_adapter_weight": 0.3,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 30,
        "disable_safety_check": True,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 1.2,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

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

Run usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter 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/controlnet-x-majic-mix-realistic-x-ip-adapter:8deeafc0da08d1439efdccadeb73eee9c25c6eef48ee90165608d39b3ab8c4cb",
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.3,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1.2,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:8deeafc0da08d1439efdccadeb73eee9c25c6eef48ee90165608d39b3ab8c4cb \
  -i 'eta=0' \
  -i 'prompt="cat"' \
  -i 'max_width=712' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'guess_mode=false' \
  -i 'max_height=712' \
  -i 'num_outputs=1' \
  -i 'lineart_image="https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png"' \
  -i 'guidance_scale=8.72' \
  -i 'negative_prompt="(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,"' \
  -i 'ip_adapter_image="https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg"' \
  -i 'ip_adapter_weight=0.3' \
  -i 'sorted_controlnets="tile, inpainting, lineart"' \
  -i 'num_inference_steps=30' \
  -i 'disable_safety_check=true' \
  -i 'tile_conditioning_scale=1' \
  -i 'lineart_conditioning_scale=1.2' \
  -i 'brightness_conditioning_scale=1' \
  -i 'inpainting_conditioning_scale=1'

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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:8deeafc0da08d1439efdccadeb73eee9c25c6eef48ee90165608d39b3ab8c4cb
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.3,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1.2,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  http://localhost:5000/predictions

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

Output

seed-1422.png

{
  "completed_at": "2023-11-23T21:46:20.909152Z",
  "created_at": "2023-11-23T21:46:14.676547Z",
  "data_removed": false,
  "error": null,
  "id": "4mcy3ttbwhhjkp2wflcptgn544",
  "input": {
    "eta": 0,
    "prompt": "cat",
    "max_width": 712,
    "scheduler": "K_EULER_ANCESTRAL",
    "guess_mode": false,
    "max_height": 712,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
    "guidance_scale": 8.72,
    "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
    "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
    "ip_adapter_weight": 0.3,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 30,
    "disable_safety_check": true,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 1.2,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "loading ip adapter\nTime taken to load IP adapter model: 0.01 seconds\nTime taken to load image encoder model: 0.00 seconds\nUsing seed: 1422\nip adapter---\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:04,  6.70it/s]\n 10%|█         | 3/30 [00:00<00:03,  8.86it/s]\n 13%|█▎        | 4/30 [00:00<00:03,  8.53it/s]\n 17%|█▋        | 5/30 [00:00<00:03,  8.32it/s]\n 20%|██        | 6/30 [00:00<00:02,  8.19it/s]\n 23%|██▎       | 7/30 [00:00<00:02,  8.11it/s]\n 27%|██▋       | 8/30 [00:00<00:02,  8.05it/s]\n 30%|███       | 9/30 [00:01<00:02,  8.01it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  7.99it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  7.98it/s]\n 40%|████      | 12/30 [00:01<00:02,  7.96it/s]\n 43%|████▎     | 13/30 [00:01<00:02,  7.95it/s]\n 47%|████▋     | 14/30 [00:01<00:02,  7.94it/s]\n 50%|█████     | 15/30 [00:01<00:01,  7.94it/s]\n 53%|█████▎    | 16/30 [00:01<00:01,  7.94it/s]\n 57%|█████▋    | 17/30 [00:02<00:01,  7.94it/s]\n 60%|██████    | 18/30 [00:02<00:01,  7.93it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  7.93it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  7.92it/s]\n 70%|███████   | 21/30 [00:02<00:01,  7.92it/s]\n 73%|███████▎  | 22/30 [00:02<00:01,  7.91it/s]\n 77%|███████▋  | 23/30 [00:02<00:00,  7.91it/s]\n 80%|████████  | 24/30 [00:02<00:00,  7.92it/s]\n 83%|████████▎ | 25/30 [00:03<00:00,  7.94it/s]\n 87%|████████▋ | 26/30 [00:03<00:00,  7.95it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  7.97it/s]\n 93%|█████████▎| 28/30 [00:03<00:00,  7.97it/s]\n 97%|█████████▋| 29/30 [00:03<00:00,  7.98it/s]\n100%|██████████| 30/30 [00:03<00:00,  7.97it/s]\n100%|██████████| 30/30 [00:03<00:00,  8.00it/s]\nsize:  (712, 712)",
  "metrics": {
    "predict_time": 6.195252,
    "total_time": 6.232605
  },
  "output": [
    "https://replicate.delivery/pbxt/kDBfFT6DN42uLKebaeCZQ3r0Vee0RfNfVJ8wWXBeV6MlsoX7RA/seed-1422.png"
  ],
  "started_at": "2023-11-23T21:46:14.713900Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/4mcy3ttbwhhjkp2wflcptgn544",
    "cancel": "https://api.replicate.com/v1/predictions/4mcy3ttbwhhjkp2wflcptgn544/cancel"
  },
  "version": "8deeafc0da08d1439efdccadeb73eee9c25c6eef48ee90165608d39b3ab8c4cb"
}

Generated in

6.2 seconds

Tweak it ShareReport

loading ip adapter
Time taken to load IP adapter model: 0.01 seconds
Time taken to load image encoder model: 0.00 seconds
Using seed: 1422
ip adapter---
  0%|          | 0/30 [00:00<?, ?it/s]
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 13%|█▎        | 4/30 [00:00<00:03,  8.53it/s]
 17%|█▋        | 5/30 [00:00<00:03,  8.32it/s]
 20%|██        | 6/30 [00:00<00:02,  8.19it/s]
 23%|██▎       | 7/30 [00:00<00:02,  8.11it/s]
 27%|██▋       | 8/30 [00:00<00:02,  8.05it/s]
 30%|███       | 9/30 [00:01<00:02,  8.01it/s]
 33%|███▎      | 10/30 [00:01<00:02,  7.99it/s]
 37%|███▋      | 11/30 [00:01<00:02,  7.98it/s]
 40%|████      | 12/30 [00:01<00:02,  7.96it/s]
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 50%|█████     | 15/30 [00:01<00:01,  7.94it/s]
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 60%|██████    | 18/30 [00:02<00:01,  7.93it/s]
 63%|██████▎   | 19/30 [00:02<00:01,  7.93it/s]
 67%|██████▋   | 20/30 [00:02<00:01,  7.92it/s]
 70%|███████   | 21/30 [00:02<00:01,  7.92it/s]
 73%|███████▎  | 22/30 [00:02<00:01,  7.91it/s]
 77%|███████▋  | 23/30 [00:02<00:00,  7.91it/s]
 80%|████████  | 24/30 [00:02<00:00,  7.92it/s]
 83%|████████▎ | 25/30 [00:03<00:00,  7.94it/s]
 87%|████████▋ | 26/30 [00:03<00:00,  7.95it/s]
 90%|█████████ | 27/30 [00:03<00:00,  7.97it/s]
 93%|█████████▎| 28/30 [00:03<00:00,  7.97it/s]
 97%|█████████▋| 29/30 [00:03<00:00,  7.98it/s]
100%|██████████| 30/30 [00:03<00:00,  7.97it/s]
100%|██████████| 30/30 [00:03<00:00,  8.00it/s]
size:  (712, 712)

Prediction

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f49d79a35ecd3c19b413fc82dd53db10ef1b43c4b832748c68e94a30f098d135

Model

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f49d79a3

zvsgvvlb4d5po5pvcye6u2u7vy

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.6s

Created

over 1 year ago

Input

eta: 0
prompt: A village in Punjab, children book art, children book art style
max_width: 712
scheduler: K_EULER_ANCESTRAL
guess_mode
max_height: 712
num_outputs: 1
guidance_scale: 8.72
ip_adapter_ckpt: ip-adapter_sd15.bin
negative_prompt: (worst quality)++ ,(low quality)++ ,(normal quality)++ ,lowres,watermark, (((deformed))), blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar, multiple breasts, (mutated hands and fingers:1.5), (long body :1.3), (mutation, poorly drawn :1.2), black-white, bad anatomy, liquid body, liquidtongue, disfigured, malformed, mutated, anatomical nonsense, text font ui, error, malformed hands, long neck, blurred, lowers, low res, bad anatomy, bad proportions, bad shadow, uncoordinated body, unnatural body, fused breasts, bad breasts, huge breasts, poorly drawn breasts, extra breasts, liquid breasts, heavy breasts, missingbreasts, huge haunch, huge thighs, huge calf, bad hands,
img2img_strength: 0.5
ip_adapter_image: 55d0df6320dabbff8050a839359201f2.jpg
ip_adapter_weight: 0.4
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 30
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 1.2
scribble_conditioning_scale: 1
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "A village in Punjab, children book art, children book art style",
  "max_width": 712,
  "scheduler": "K_EULER_ANCESTRAL",
  "guess_mode": false,
  "max_height": 712,
  "num_outputs": 1,
  "guidance_scale": 8.72,
  "ip_adapter_ckpt": "ip-adapter_sd15.bin",
  "negative_prompt": "(worst quality)++ ,(low quality)++ ,(normal quality)++ ,lowres,watermark, (((deformed))), blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar, multiple breasts, (mutated hands and fingers:1.5), (long body :1.3), (mutation, poorly drawn :1.2), black-white, bad anatomy, liquid body, liquidtongue, disfigured, malformed, mutated, anatomical nonsense, text font ui, error, malformed hands, long neck, blurred, lowers, low res, bad anatomy, bad proportions, bad shadow, uncoordinated body, unnatural body, fused breasts, bad breasts, huge breasts, poorly drawn breasts, extra breasts, liquid breasts, heavy breasts, missingbreasts, huge haunch, huge thighs, huge calf, bad hands,",
  "img2img_strength": 0.5,
  "ip_adapter_image": "https://replicate.delivery/pbxt/K4ft8903U2erD3vEsMSkuJYgIwDhMVnlhgBZbgDngRCVVCjn/55d0df6320dabbff8050a839359201f2.jpg",
  "ip_adapter_weight": 0.4,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 30,
  "disable_safety_check": true,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 1.2,
  "scribble_conditioning_scale": 1,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

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

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

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

const output = await replicate.run(
  "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f49d79a35ecd3c19b413fc82dd53db10ef1b43c4b832748c68e94a30f098d135",
  {
    input: {
      eta: 0,
      prompt: "A village in Punjab, children book art, children book art style",
      max_width: 712,
      scheduler: "K_EULER_ANCESTRAL",
      guess_mode: false,
      max_height: 712,
      num_outputs: 1,
      guidance_scale: 8.72,
      ip_adapter_ckpt: "ip-adapter_sd15.bin",
      negative_prompt: "(worst quality)++ ,(low quality)++ ,(normal quality)++ ,lowres,watermark, (((deformed))), blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar, multiple breasts, (mutated hands and fingers:1.5), (long body :1.3), (mutation, poorly drawn :1.2), black-white, bad anatomy, liquid body, liquidtongue, disfigured, malformed, mutated, anatomical nonsense, text font ui, error, malformed hands, long neck, blurred, lowers, low res, bad anatomy, bad proportions, bad shadow, uncoordinated body, unnatural body, fused breasts, bad breasts, huge breasts, poorly drawn breasts, extra breasts, liquid breasts, heavy breasts, missingbreasts, huge haunch, huge thighs, huge calf, bad hands,",
      img2img_strength: 0.5,
      ip_adapter_image: "https://replicate.delivery/pbxt/K4ft8903U2erD3vEsMSkuJYgIwDhMVnlhgBZbgDngRCVVCjn/55d0df6320dabbff8050a839359201f2.jpg",
      ip_adapter_weight: 0.4,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 30,
      disable_safety_check: true,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 1.2,
      scribble_conditioning_scale: 1,
      brightness_conditioning_scale: 1,
      inpainting_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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:f49d79a35ecd3c19b413fc82dd53db10ef1b43c4b832748c68e94a30f098d135",
    input={
        "eta": 0,
        "prompt": "A village in Punjab, children book art, children book art style",
        "max_width": 712,
        "scheduler": "K_EULER_ANCESTRAL",
        "guess_mode": False,
        "max_height": 712,
        "num_outputs": 1,
        "guidance_scale": 8.72,
        "ip_adapter_ckpt": "ip-adapter_sd15.bin",
        "negative_prompt": "(worst quality)++ ,(low quality)++ ,(normal quality)++ ,lowres,watermark, (((deformed))), blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar, multiple breasts, (mutated hands and fingers:1.5), (long body :1.3), (mutation, poorly drawn :1.2), black-white, bad anatomy, liquid body, liquidtongue, disfigured, malformed, mutated, anatomical nonsense, text font ui, error, malformed hands, long neck, blurred, lowers, low res, bad anatomy, bad proportions, bad shadow, uncoordinated body, unnatural body, fused breasts, bad breasts, huge breasts, poorly drawn breasts, extra breasts, liquid breasts, heavy breasts, missingbreasts, huge haunch, huge thighs, huge calf, bad hands,",
        "img2img_strength": 0.5,
        "ip_adapter_image": "https://replicate.delivery/pbxt/K4ft8903U2erD3vEsMSkuJYgIwDhMVnlhgBZbgDngRCVVCjn/55d0df6320dabbff8050a839359201f2.jpg",
        "ip_adapter_weight": 0.4,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 30,
        "disable_safety_check": True,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 1.2,
        "scribble_conditioning_scale": 1,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

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

Run usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter 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/controlnet-x-majic-mix-realistic-x-ip-adapter:f49d79a35ecd3c19b413fc82dd53db10ef1b43c4b832748c68e94a30f098d135",
    "input": {
      "eta": 0,
      "prompt": "A village in Punjab, children book art, children book art style",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "guidance_scale": 8.72,
      "ip_adapter_ckpt": "ip-adapter_sd15.bin",
      "negative_prompt": "(worst quality)++ ,(low quality)++ ,(normal quality)++ ,lowres,watermark, (((deformed))), blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar, multiple breasts, (mutated hands and fingers:1.5), (long body :1.3), (mutation, poorly drawn :1.2), black-white, bad anatomy, liquid body, liquidtongue, disfigured, malformed, mutated, anatomical nonsense, text font ui, error, malformed hands, long neck, blurred, lowers, low res, bad anatomy, bad proportions, bad shadow, uncoordinated body, unnatural body, fused breasts, bad breasts, huge breasts, poorly drawn breasts, extra breasts, liquid breasts, heavy breasts, missingbreasts, huge haunch, huge thighs, huge calf, bad hands,",
      "img2img_strength": 0.5,
      "ip_adapter_image": "https://replicate.delivery/pbxt/K4ft8903U2erD3vEsMSkuJYgIwDhMVnlhgBZbgDngRCVVCjn/55d0df6320dabbff8050a839359201f2.jpg",
      "ip_adapter_weight": 0.4,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1.2,
      "scribble_conditioning_scale": 1,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

output_0.png

{
  "completed_at": "2023-12-19T06:19:47.929201Z",
  "created_at": "2023-12-19T06:19:44.369654Z",
  "data_removed": false,
  "error": null,
  "id": "zvsgvvlb4d5po5pvcye6u2u7vy",
  "input": {
    "eta": 0,
    "prompt": "A village in Punjab, children book art, children book art style",
    "max_width": 712,
    "scheduler": "K_EULER_ANCESTRAL",
    "guess_mode": false,
    "max_height": 712,
    "num_outputs": 1,
    "guidance_scale": 8.72,
    "ip_adapter_ckpt": "ip-adapter_sd15.bin",
    "negative_prompt": "(worst quality)++ ,(low quality)++ ,(normal quality)++ ,lowres,watermark, (((deformed))), blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), fused fingers, messy drawing, broken legs censor, censored, censor_bar, multiple breasts, (mutated hands and fingers:1.5), (long body :1.3), (mutation, poorly drawn :1.2), black-white, bad anatomy, liquid body, liquidtongue, disfigured, malformed, mutated, anatomical nonsense, text font ui, error, malformed hands, long neck, blurred, lowers, low res, bad anatomy, bad proportions, bad shadow, uncoordinated body, unnatural body, fused breasts, bad breasts, huge breasts, poorly drawn breasts, extra breasts, liquid breasts, heavy breasts, missingbreasts, huge haunch, huge thighs, huge calf, bad hands,",
    "img2img_strength": 0.5,
    "ip_adapter_image": "https://replicate.delivery/pbxt/K4ft8903U2erD3vEsMSkuJYgIwDhMVnlhgBZbgDngRCVVCjn/55d0df6320dabbff8050a839359201f2.jpg",
    "ip_adapter_weight": 0.4,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 30,
    "disable_safety_check": true,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 1.2,
    "scribble_conditioning_scale": 1,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "using ip adapter:: /tmp/tmp6z_wz1oo55d0df6320dabbff8050a839359201f2.jpg\nloading ip adapter\nTime taken to load IP adapter model: 0.02 seconds\nTime taken to load image encoder model: 0.00 seconds\nUsing seed: 26098\nip adapter---\n  0%|          | 0/30 [00:00<?, ?it/s]\n 13%|█▎        | 4/30 [00:00<00:00, 29.79it/s]\n 23%|██▎       | 7/30 [00:00<00:00, 26.74it/s]\n 33%|███▎      | 10/30 [00:00<00:00, 25.60it/s]\n 43%|████▎     | 13/30 [00:00<00:00, 25.02it/s]\n 53%|█████▎    | 16/30 [00:00<00:00, 24.64it/s]\n 63%|██████▎   | 19/30 [00:00<00:00, 24.55it/s]\n 73%|███████▎  | 22/30 [00:00<00:00, 24.42it/s]\n 83%|████████▎ | 25/30 [00:01<00:00, 24.29it/s]\n 93%|█████████▎| 28/30 [00:01<00:00, 24.22it/s]\n100%|██████████| 30/30 [00:01<00:00, 24.78it/s]",
  "metrics": {
    "predict_time": 3.519647,
    "total_time": 3.559547
  },
  "output": [
    "https://replicate.delivery/pbxt/pAiKsGvbavrjD5rm5cuxPidw5UVowyQ6a7c7KgX8b5eBQ3BJA/output_0.png"
  ],
  "started_at": "2023-12-19T06:19:44.409554Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/zvsgvvlb4d5po5pvcye6u2u7vy",
    "cancel": "https://api.replicate.com/v1/predictions/zvsgvvlb4d5po5pvcye6u2u7vy/cancel"
  },
  "version": "f49d79a35ecd3c19b413fc82dd53db10ef1b43c4b832748c68e94a30f098d135"
}

Generated in

3.5 seconds

Tweak it ShareReport

Prediction

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:47bc4a07a7dd753ce70382e95179b418308bc7f4275759e3de80d64bf9c40f22

Model

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:47bc4a07

ndrcqy3bdo2a7qi5pjlruippfm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

6.5s

Created

over 1 year ago

Input

eta: 0
prompt: woman
max_width: 712
scheduler: K_EULER_ANCESTRAL
guess_mode
max_height: 712
num_outputs: 1
lineart_image: fausto-sandoval-5q3vrOf4_D0-unsplash.jpg
guidance_scale: 8.72
negative_prompt: (worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,
ip_adapter_image: statue.png
ip_adapter_weight: 0.5
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 30
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 0.6
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "woman",
  "max_width": 712,
  "scheduler": "K_EULER_ANCESTRAL",
  "guess_mode": false,
  "max_height": 712,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JvgseB45a3D9g9dBJoThZyuVSH6GgtM5FS2ws1v5vktWbXaH/fausto-sandoval-5q3vrOf4_D0-unsplash.jpg",
  "guidance_scale": 8.72,
  "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
  "ip_adapter_image": "https://replicate.delivery/pbxt/Jvgse0aHvGnMTcdGuNulNFHfkqWHXSh9YX2hdZzGXmoOSIIz/statue.png",
  "ip_adapter_weight": 0.5,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 30,
  "disable_safety_check": true,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 0.6,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

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

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

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

const output = await replicate.run(
  "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:47bc4a07a7dd753ce70382e95179b418308bc7f4275759e3de80d64bf9c40f22",
  {
    input: {
      eta: 0,
      prompt: "woman",
      max_width: 712,
      scheduler: "K_EULER_ANCESTRAL",
      guess_mode: false,
      max_height: 712,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JvgseB45a3D9g9dBJoThZyuVSH6GgtM5FS2ws1v5vktWbXaH/fausto-sandoval-5q3vrOf4_D0-unsplash.jpg",
      guidance_scale: 8.72,
      negative_prompt: "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      ip_adapter_image: "https://replicate.delivery/pbxt/Jvgse0aHvGnMTcdGuNulNFHfkqWHXSh9YX2hdZzGXmoOSIIz/statue.png",
      ip_adapter_weight: 0.5,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 30,
      disable_safety_check: true,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 0.6,
      brightness_conditioning_scale: 1,
      inpainting_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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:47bc4a07a7dd753ce70382e95179b418308bc7f4275759e3de80d64bf9c40f22",
    input={
        "eta": 0,
        "prompt": "woman",
        "max_width": 712,
        "scheduler": "K_EULER_ANCESTRAL",
        "guess_mode": False,
        "max_height": 712,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JvgseB45a3D9g9dBJoThZyuVSH6GgtM5FS2ws1v5vktWbXaH/fausto-sandoval-5q3vrOf4_D0-unsplash.jpg",
        "guidance_scale": 8.72,
        "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
        "ip_adapter_image": "https://replicate.delivery/pbxt/Jvgse0aHvGnMTcdGuNulNFHfkqWHXSh9YX2hdZzGXmoOSIIz/statue.png",
        "ip_adapter_weight": 0.5,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 30,
        "disable_safety_check": True,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 0.6,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

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

Run usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter 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/controlnet-x-majic-mix-realistic-x-ip-adapter:47bc4a07a7dd753ce70382e95179b418308bc7f4275759e3de80d64bf9c40f22",
    "input": {
      "eta": 0,
      "prompt": "woman",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvgseB45a3D9g9dBJoThZyuVSH6GgtM5FS2ws1v5vktWbXaH/fausto-sandoval-5q3vrOf4_D0-unsplash.jpg",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/Jvgse0aHvGnMTcdGuNulNFHfkqWHXSh9YX2hdZzGXmoOSIIz/statue.png",
      "ip_adapter_weight": 0.5,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 0.6,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:47bc4a07a7dd753ce70382e95179b418308bc7f4275759e3de80d64bf9c40f22 \
  -i 'eta=0' \
  -i 'prompt="woman"' \
  -i 'max_width=712' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'guess_mode=false' \
  -i 'max_height=712' \
  -i 'num_outputs=1' \
  -i 'lineart_image="https://replicate.delivery/pbxt/JvgseB45a3D9g9dBJoThZyuVSH6GgtM5FS2ws1v5vktWbXaH/fausto-sandoval-5q3vrOf4_D0-unsplash.jpg"' \
  -i 'guidance_scale=8.72' \
  -i 'negative_prompt="(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,"' \
  -i 'ip_adapter_image="https://replicate.delivery/pbxt/Jvgse0aHvGnMTcdGuNulNFHfkqWHXSh9YX2hdZzGXmoOSIIz/statue.png"' \
  -i 'ip_adapter_weight=0.5' \
  -i 'sorted_controlnets="tile, inpainting, lineart"' \
  -i 'num_inference_steps=30' \
  -i 'disable_safety_check=true' \
  -i 'tile_conditioning_scale=1' \
  -i 'lineart_conditioning_scale=0.6' \
  -i 'brightness_conditioning_scale=1' \
  -i 'inpainting_conditioning_scale=1'

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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:47bc4a07a7dd753ce70382e95179b418308bc7f4275759e3de80d64bf9c40f22
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "eta": 0,
      "prompt": "woman",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvgseB45a3D9g9dBJoThZyuVSH6GgtM5FS2ws1v5vktWbXaH/fausto-sandoval-5q3vrOf4_D0-unsplash.jpg",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/Jvgse0aHvGnMTcdGuNulNFHfkqWHXSh9YX2hdZzGXmoOSIIz/statue.png",
      "ip_adapter_weight": 0.5,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 0.6,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  http://localhost:5000/predictions

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

Output

seed-52292.png

{
  "completed_at": "2023-11-23T22:53:15.252473Z",
  "created_at": "2023-11-23T22:53:08.712287Z",
  "data_removed": false,
  "error": null,
  "id": "ndrcqy3bdo2a7qi5pjlruippfm",
  "input": {
    "eta": 0,
    "prompt": "woman",
    "max_width": 712,
    "scheduler": "K_EULER_ANCESTRAL",
    "guess_mode": false,
    "max_height": 712,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JvgseB45a3D9g9dBJoThZyuVSH6GgtM5FS2ws1v5vktWbXaH/fausto-sandoval-5q3vrOf4_D0-unsplash.jpg",
    "guidance_scale": 8.72,
    "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
    "ip_adapter_image": "https://replicate.delivery/pbxt/Jvgse0aHvGnMTcdGuNulNFHfkqWHXSh9YX2hdZzGXmoOSIIz/statue.png",
    "ip_adapter_weight": 0.5,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 30,
    "disable_safety_check": true,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 0.6,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "using ip adapter:: /tmp/tmp5yxjnz1ystatue.png\nloading ip adapter\nTime taken to load IP adapter model: 0.02 seconds\nTime taken to load image encoder model: 0.00 seconds\nUsing seed: 52292\nip adapter---\n  0%|          | 0/30 [00:00<?, ?it/s]\n  7%|▋         | 2/30 [00:00<00:02, 10.99it/s]\n 13%|█▎        | 4/30 [00:00<00:02,  9.04it/s]\n 17%|█▋        | 5/30 [00:00<00:02,  8.70it/s]\n 20%|██        | 6/30 [00:00<00:02,  8.48it/s]\n 23%|██▎       | 7/30 [00:00<00:02,  8.33it/s]\n 27%|██▋       | 8/30 [00:00<00:02,  8.23it/s]\n 30%|███       | 9/30 [00:01<00:02,  8.15it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  8.10it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  8.07it/s]\n 40%|████      | 12/30 [00:01<00:02,  8.04it/s]\n 43%|████▎     | 13/30 [00:01<00:02,  8.02it/s]\n 47%|████▋     | 14/30 [00:01<00:01,  8.01it/s]\n 50%|█████     | 15/30 [00:01<00:01,  8.00it/s]\n 53%|█████▎    | 16/30 [00:01<00:01,  7.99it/s]\n 57%|█████▋    | 17/30 [00:02<00:01,  7.98it/s]\n 60%|██████    | 18/30 [00:02<00:01,  7.99it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  7.98it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  7.97it/s]\n 70%|███████   | 21/30 [00:02<00:01,  7.97it/s]\n 73%|███████▎  | 22/30 [00:02<00:01,  7.96it/s]\n 77%|███████▋  | 23/30 [00:02<00:00,  7.96it/s]\n 80%|████████  | 24/30 [00:02<00:00,  7.95it/s]\n 83%|████████▎ | 25/30 [00:03<00:00,  7.96it/s]\n 87%|████████▋ | 26/30 [00:03<00:00,  7.95it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  7.96it/s]\n 93%|█████████▎| 28/30 [00:03<00:00,  7.96it/s]\n 97%|█████████▋| 29/30 [00:03<00:00,  7.95it/s]\n100%|██████████| 30/30 [00:03<00:00,  7.95it/s]\n100%|██████████| 30/30 [00:03<00:00,  8.12it/s]\nsize:  (712, 712)",
  "metrics": {
    "predict_time": 6.496189,
    "total_time": 6.540186
  },
  "output": [
    "https://replicate.delivery/pbxt/zpRvu4VNUKIxOhJZfhAJJUrsoWc0yKfLrArPX0X1X15anY7RA/seed-52292.png"
  ],
  "started_at": "2023-11-23T22:53:08.756284Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ndrcqy3bdo2a7qi5pjlruippfm",
    "cancel": "https://api.replicate.com/v1/predictions/ndrcqy3bdo2a7qi5pjlruippfm/cancel"
  },
  "version": "47bc4a07a7dd753ce70382e95179b418308bc7f4275759e3de80d64bf9c40f22"
}

Generated in

6.5 seconds

Tweak it ShareReport

using ip adapter:: /tmp/tmp5yxjnz1ystatue.png
loading ip adapter
Time taken to load IP adapter model: 0.02 seconds
Time taken to load image encoder model: 0.00 seconds
Using seed: 52292
ip adapter---
  0%|          | 0/30 [00:00<?, ?it/s]
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 13%|█▎        | 4/30 [00:00<00:02,  9.04it/s]
 17%|█▋        | 5/30 [00:00<00:02,  8.70it/s]
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 73%|███████▎  | 22/30 [00:02<00:01,  7.96it/s]
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100%|██████████| 30/30 [00:03<00:00,  7.95it/s]
100%|██████████| 30/30 [00:03<00:00,  8.12it/s]
size:  (712, 712)

Prediction

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f

Model

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d7

lup6bnlbutbqupmzu5g43fieye

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 49s

Created

over 1 year ago

Input

eta: 0
prompt: cat
max_width: 712
scheduler: K_EULER_ANCESTRAL
guess_mode
max_height: 712
num_outputs: 1
lineart_image: output.png
guidance_scale: 8.72
negative_prompt: (worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,
ip_adapter_image: Cool-PC-Wallpapers-HD-2.jpg
ip_adapter_weight: 0.3
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 30
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 1.2
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "cat",
  "max_width": 712,
  "scheduler": "K_EULER_ANCESTRAL",
  "guess_mode": false,
  "max_height": 712,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
  "guidance_scale": 8.72,
  "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
  "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
  "ip_adapter_weight": 0.3,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 30,
  "disable_safety_check": true,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 1.2,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

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

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

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

const output = await replicate.run(
  "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f",
  {
    input: {
      eta: 0,
      prompt: "cat",
      max_width: 712,
      scheduler: "K_EULER_ANCESTRAL",
      guess_mode: false,
      max_height: 712,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      guidance_scale: 8.72,
      negative_prompt: "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      ip_adapter_image: "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      ip_adapter_weight: 0.3,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 30,
      disable_safety_check: true,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 1.2,
      brightness_conditioning_scale: 1,
      inpainting_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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f",
    input={
        "eta": 0,
        "prompt": "cat",
        "max_width": 712,
        "scheduler": "K_EULER_ANCESTRAL",
        "guess_mode": False,
        "max_height": 712,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
        "guidance_scale": 8.72,
        "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
        "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
        "ip_adapter_weight": 0.3,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 30,
        "disable_safety_check": True,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 1.2,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

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

Run usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter 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/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f",
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.3,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1.2,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f \
  -i 'eta=0' \
  -i 'prompt="cat"' \
  -i 'max_width=712' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'guess_mode=false' \
  -i 'max_height=712' \
  -i 'num_outputs=1' \
  -i 'lineart_image="https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png"' \
  -i 'guidance_scale=8.72' \
  -i 'negative_prompt="(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,"' \
  -i 'ip_adapter_image="https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg"' \
  -i 'ip_adapter_weight=0.3' \
  -i 'sorted_controlnets="tile, inpainting, lineart"' \
  -i 'num_inference_steps=30' \
  -i 'disable_safety_check=true' \
  -i 'tile_conditioning_scale=1' \
  -i 'lineart_conditioning_scale=1.2' \
  -i 'brightness_conditioning_scale=1' \
  -i 'inpainting_conditioning_scale=1'

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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.3,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1.2,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  http://localhost:5000/predictions

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

Output

seed-31051.png

{
  "completed_at": "2023-11-24T00:30:32.243146Z",
  "created_at": "2023-11-24T00:28:42.830857Z",
  "data_removed": false,
  "error": null,
  "id": "lup6bnlbutbqupmzu5g43fieye",
  "input": {
    "eta": 0,
    "prompt": "cat",
    "max_width": 712,
    "scheduler": "K_EULER_ANCESTRAL",
    "guess_mode": false,
    "max_height": 712,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
    "guidance_scale": 8.72,
    "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
    "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
    "ip_adapter_weight": 0.3,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 30,
    "disable_safety_check": true,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 1.2,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "using ip adapter:: /tmp/tmpca1o91mmCool-PC-Wallpapers-HD-2.jpg\nloading ip adapter\nTime taken to load IP adapter model: 0.01 seconds\nTime taken to load image encoder model: 0.00 seconds\nUsing seed: 31051\nip adapter---\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:06,  4.81it/s]\n 10%|█         | 3/30 [00:00<00:03,  7.73it/s]\n 13%|█▎        | 4/30 [00:00<00:03,  7.75it/s]\n 17%|█▋        | 5/30 [00:00<00:03,  7.76it/s]\n 20%|██        | 6/30 [00:00<00:03,  7.77it/s]\n 23%|██▎       | 7/30 [00:00<00:02,  7.77it/s]\n 27%|██▋       | 8/30 [00:01<00:02,  7.78it/s]\n 30%|███       | 9/30 [00:01<00:02,  7.78it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  7.76it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  7.76it/s]\n 40%|████      | 12/30 [00:01<00:02,  7.76it/s]\n 43%|████▎     | 13/30 [00:01<00:02,  7.75it/s]\n 47%|████▋     | 14/30 [00:01<00:02,  7.75it/s]\n 50%|█████     | 15/30 [00:01<00:01,  7.75it/s]\n 53%|█████▎    | 16/30 [00:02<00:01,  7.76it/s]\n 57%|█████▋    | 17/30 [00:02<00:01,  7.75it/s]\n 60%|██████    | 18/30 [00:02<00:01,  7.75it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  7.75it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  7.75it/s]\n 70%|███████   | 21/30 [00:02<00:01,  7.74it/s]\n 73%|███████▎  | 22/30 [00:02<00:01,  7.74it/s]\n 77%|███████▋  | 23/30 [00:02<00:00,  7.74it/s]\n 80%|████████  | 24/30 [00:03<00:00,  7.74it/s]\n 83%|████████▎ | 25/30 [00:03<00:00,  7.74it/s]\n 87%|████████▋ | 26/30 [00:03<00:00,  7.73it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  7.73it/s]\n 93%|█████████▎| 28/30 [00:03<00:00,  7.73it/s]\n 97%|█████████▋| 29/30 [00:03<00:00,  7.73it/s]\n100%|██████████| 30/30 [00:03<00:00,  7.72it/s]\n100%|██████████| 30/30 [00:03<00:00,  7.70it/s]\nsize:  (712, 712)",
  "metrics": {
    "predict_time": 9.723017,
    "total_time": 109.412289
  },
  "output": [
    "https://replicate.delivery/pbxt/VAB6JgQ91AZnIBexOSg1iX6oIMKetsAvOPv4pyWJ6mQnCa7RA/seed-31051.png"
  ],
  "started_at": "2023-11-24T00:30:22.520129Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/lup6bnlbutbqupmzu5g43fieye",
    "cancel": "https://api.replicate.com/v1/predictions/lup6bnlbutbqupmzu5g43fieye/cancel"
  },
  "version": "6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f"
}

Generated in

9.7 seconds

Tweak it ShareReport

using ip adapter:: /tmp/tmpca1o91mmCool-PC-Wallpapers-HD-2.jpg
loading ip adapter
Time taken to load IP adapter model: 0.01 seconds
Time taken to load image encoder model: 0.00 seconds
Using seed: 31051
ip adapter---
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100%|██████████| 30/30 [00:03<00:00,  7.70it/s]
size:  (712, 712)

Prediction

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f

Model

usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d7

6t6clk3b7s7kvuhcuznuctcgdq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

6.2s

Created

over 1 year ago

Input

eta: 0
prompt: cat
max_width: 712
scheduler: K_EULER_ANCESTRAL
guess_mode
max_height: 712
num_outputs: 1
lineart_image: output.png
guidance_scale: 8.72
negative_prompt: (worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,
ip_adapter_image: Cool-PC-Wallpapers-HD-2.jpg
ip_adapter_weight: 0.8
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 30
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 1.2
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "cat",
  "max_width": 712,
  "scheduler": "K_EULER_ANCESTRAL",
  "guess_mode": false,
  "max_height": 712,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
  "guidance_scale": 8.72,
  "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
  "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
  "ip_adapter_weight": 0.8,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 30,
  "disable_safety_check": true,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 1.2,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

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

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

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

const output = await replicate.run(
  "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f",
  {
    input: {
      eta: 0,
      prompt: "cat",
      max_width: 712,
      scheduler: "K_EULER_ANCESTRAL",
      guess_mode: false,
      max_height: 712,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      guidance_scale: 8.72,
      negative_prompt: "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      ip_adapter_image: "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      ip_adapter_weight: 0.8,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 30,
      disable_safety_check: true,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 1.2,
      brightness_conditioning_scale: 1,
      inpainting_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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f",
    input={
        "eta": 0,
        "prompt": "cat",
        "max_width": 712,
        "scheduler": "K_EULER_ANCESTRAL",
        "guess_mode": False,
        "max_height": 712,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
        "guidance_scale": 8.72,
        "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
        "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
        "ip_adapter_weight": 0.8,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 30,
        "disable_safety_check": True,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 1.2,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

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

Run usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter 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/controlnet-x-majic-mix-realistic-x-ip-adapter:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f",
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.8,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1.2,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f \
  -i 'eta=0' \
  -i 'prompt="cat"' \
  -i 'max_width=712' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'guess_mode=false' \
  -i 'max_height=712' \
  -i 'num_outputs=1' \
  -i 'lineart_image="https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png"' \
  -i 'guidance_scale=8.72' \
  -i 'negative_prompt="(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,"' \
  -i 'ip_adapter_image="https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg"' \
  -i 'ip_adapter_weight=0.8' \
  -i 'sorted_controlnets="tile, inpainting, lineart"' \
  -i 'num_inference_steps=30' \
  -i 'disable_safety_check=true' \
  -i 'tile_conditioning_scale=1' \
  -i 'lineart_conditioning_scale=1.2' \
  -i 'brightness_conditioning_scale=1' \
  -i 'inpainting_conditioning_scale=1'

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/usamaehsan/controlnet-x-majic-mix-realistic-x-ip-adapter@sha256:6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "eta": 0,
      "prompt": "cat",
      "max_width": 712,
      "scheduler": "K_EULER_ANCESTRAL",
      "guess_mode": false,
      "max_height": 712,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
      "guidance_scale": 8.72,
      "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
      "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
      "ip_adapter_weight": 0.8,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 30,
      "disable_safety_check": true,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1.2,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  http://localhost:5000/predictions

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

Output

seed-61132.png

{
  "completed_at": "2023-11-24T00:31:48.371674Z",
  "created_at": "2023-11-24T00:31:42.181486Z",
  "data_removed": false,
  "error": null,
  "id": "6t6clk3b7s7kvuhcuznuctcgdq",
  "input": {
    "eta": 0,
    "prompt": "cat",
    "max_width": 712,
    "scheduler": "K_EULER_ANCESTRAL",
    "guess_mode": false,
    "max_height": 712,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JvfJGnmbU8uxfzsCeqLBCdEoeOQT09xZOAQLGbGLqyNYrrKc/output.png",
    "guidance_scale": 8.72,
    "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,",
    "ip_adapter_image": "https://replicate.delivery/pbxt/JvfJGnjAmUqqNLFm8OyfbOXynAQLvVOtgSrq2cWOWeAb2wZW/Cool-PC-Wallpapers-HD-2.jpg",
    "ip_adapter_weight": 0.8,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 30,
    "disable_safety_check": true,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 1.2,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "using ip adapter:: /tmp/tmpigfuocscCool-PC-Wallpapers-HD-2.jpg\nloading ip adapter\nTime taken to load IP adapter model: 0.01 seconds\nTime taken to load image encoder model: 0.00 seconds\nUsing seed: 61132\nip adapter---\n  0%|          | 0/30 [00:00<?, ?it/s]\n  7%|▋         | 2/30 [00:00<00:02, 10.43it/s]\n 13%|█▎        | 4/30 [00:00<00:03,  8.66it/s]\n 17%|█▋        | 5/30 [00:00<00:02,  8.37it/s]\n 20%|██        | 6/30 [00:00<00:02,  8.17it/s]\n 23%|██▎       | 7/30 [00:00<00:02,  8.03it/s]\n 27%|██▋       | 8/30 [00:00<00:02,  7.94it/s]\n 30%|███       | 9/30 [00:01<00:02,  7.87it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  7.83it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  7.78it/s]\n 40%|████      | 12/30 [00:01<00:02,  7.78it/s]\n 43%|████▎     | 13/30 [00:01<00:02,  7.77it/s]\n 47%|████▋     | 14/30 [00:01<00:02,  7.76it/s]\n 50%|█████     | 15/30 [00:01<00:01,  7.77it/s]\n 53%|█████▎    | 16/30 [00:02<00:01,  7.77it/s]\n 57%|█████▋    | 17/30 [00:02<00:01,  7.77it/s]\n 60%|██████    | 18/30 [00:02<00:01,  7.76it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  7.77it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  7.76it/s]\n 70%|███████   | 21/30 [00:02<00:01,  7.76it/s]\n 73%|███████▎  | 22/30 [00:02<00:01,  7.76it/s]\n 77%|███████▋  | 23/30 [00:02<00:00,  7.76it/s]\n 80%|████████  | 24/30 [00:03<00:00,  7.76it/s]\n 83%|████████▎ | 25/30 [00:03<00:00,  7.76it/s]\n 87%|████████▋ | 26/30 [00:03<00:00,  7.76it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  7.76it/s]\n 93%|█████████▎| 28/30 [00:03<00:00,  7.76it/s]\n 97%|█████████▋| 29/30 [00:03<00:00,  7.75it/s]\n100%|██████████| 30/30 [00:03<00:00,  7.74it/s]\n100%|██████████| 30/30 [00:03<00:00,  7.88it/s]\nsize:  (712, 712)",
  "metrics": {
    "predict_time": 6.155455,
    "total_time": 6.190188
  },
  "output": [
    "https://replicate.delivery/pbxt/W5MBUdiufo3dEantdwUkei1hj8dGxqnB0eNtLVjuUVInH02jA/seed-61132.png"
  ],
  "started_at": "2023-11-24T00:31:42.216219Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6t6clk3b7s7kvuhcuznuctcgdq",
    "cancel": "https://api.replicate.com/v1/predictions/6t6clk3b7s7kvuhcuznuctcgdq/cancel"
  },
  "version": "6871e1d728bb30a0b0490884932674303d7b35ba7e6aa18e668676cccbf9c41f"
}

Generated in

6.2 seconds

Tweak it ShareReport

using ip adapter:: /tmp/tmpigfuocscCool-PC-Wallpapers-HD-2.jpg
loading ip adapter
Time taken to load IP adapter model: 0.01 seconds
Time taken to load image encoder model: 0.00 seconds
Using seed: 61132
ip adapter---
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100%|██████████| 30/30 [00:03<00:00,  7.88it/s]
size:  (712, 712)

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