goodguy1963/sdxl-finetunes-img2img:08807c2a – Run with an API on Replicate

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goodguy1963 /sdxl-finetunes-img2img:08807c2a

Playground API

Input

input_image

file

Input image for processing. If not provided, the default image will be used.

prompt

string

Shift + Return to add a new line

squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of fieldsquirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field

High quality modifiers to add to prompt

Default: "high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field"

negative_prompt

string

Shift + Return to add a new line

ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposedugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed

Things you do not want to see in your image

Default: "ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed"

checkpoint_name

string

Checkpoint model to use

Default: "realismEngineSDXL_v30VAE.safetensors"

steps

integer

(minimum: 1, maximum: 100)

Number of inference steps

Default: 50

cfg

number

(minimum: 1, maximum: 20)

Guidance scale

Default: 7.5

denoise

number

(minimum: 0, maximum: 1)

Denoising strength

Default: 0.8

sampler_name

string

Sampling algorithm to use

Default: "euler"

scheduler

string

Scheduler for the sampler

Default: "karras"

lora1_strength_model

number

(minimum: 0, maximum: 2)

LoRA 1 (product marketing) model strength

Default: 1

lora1_strength_clip

number

(minimum: 0, maximum: 2)

LoRA 1 (product marketing) clip strength

Default: 1

lora2_strength_model

number

(minimum: 0, maximum: 2)

LoRA 2 (add-detail-xl) model strength

Default: 2

lora2_strength_clip

number

(minimum: 0, maximum: 2)

LoRA 2 (add-detail-xl) clip strength

Default: 1

lora3_strength_model

number

(minimum: 0, maximum: 2)

LoRA 3 (detailed_notrigger) model strength

Default: 1

lora3_strength_clip

number

(minimum: 0, maximum: 2)

LoRA 3 (detailed_notrigger) clip strength

Default: 1

ipadapter_weight

number

(minimum: 0, maximum: 1)

IP-Adapter weight

Default: 0.9

ipadapter_start_at

number

(minimum: 0, maximum: 1)

IP-Adapter start at step percentage

Default: 0

ipadapter_end_at

number

(minimum: 0, maximum: 1)

IP-Adapter end at step percentage

Default: 1

controlnet_strength

number

(minimum: 0, maximum: 2)

ControlNet strength

Default: 1

controlnet_start_percent

number

(minimum: 0, maximum: 1)

ControlNet start percentage

Default: 0

controlnet_end_percent

number

(minimum: 0, maximum: 1)

ControlNet end percentage

Default: 0.5

safety_filter

boolean

Enable Replicate safety filter to detect and filter NSFW content (can't be disabled in web UI)

Default: true

width

integer

(minimum: 512, maximum: 2048)

Width of the image

Default: 1024

height

integer

(minimum: 512, maximum: 2048)

Height of the image

Default: 1024

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

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

Default: 95

seed

integer

Set a seed for reproducibility. Random by default.

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

npx create-replicate --model=goodguy1963/sdxl-finetunes-img2img

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run goodguy1963/sdxl-finetunes-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "goodguy1963/sdxl-finetunes-img2img:08807c2a252379c60ca5bc07e25d8f26fecfa9ad1d899987be8865e6d6a47ef2",
  {
    input: {
      cfg: 2.47,
      steps: 50,
      width: 2048,
      height: 2048,
      prompt: "squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field",
      denoise: 0.8,
      scheduler: "sgm_uniform",
      input_image: "https://replicate.delivery/pbxt/MkFZUXh7QUtpvY81ENJOEH0tueIRKIyn0jETUY8Q15RO29xe/DALL%C2%B7E%202023-10-27%2017.55.26%20-%20Lifestyle%20product%20photo%20showcasing%20a%20glistening%20perfume%20bottle%20on%20a%20wooden%20table%2C%20catching%20the%20ambient%20light.%20In%20the%20soft-focus%20background%2C%20a%20Swedish%20.png",
      sampler_name: "ddim",
      output_format: "webp",
      safety_filter: true,
      output_quality: 95,
      checkpoint_name: "realvisxlV50_v50Bakedvae.safetensors",
      negative_prompt: "ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed",
      ipadapter_end_at: 1,
      ipadapter_weight: 0.9,
      ipadapter_start_at: 0,
      controlnet_strength: 1,
      lora1_strength_clip: 1,
      lora2_strength_clip: 0,
      lora3_strength_clip: 0,
      lora1_strength_model: 0.5,
      lora2_strength_model: 0,
      lora3_strength_model: 0,
      controlnet_end_percent: 0.5,
      controlnet_start_percent: 0
    }
  }
);

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

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

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Import the client:

import replicate

Run goodguy1963/sdxl-finetunes-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "goodguy1963/sdxl-finetunes-img2img:08807c2a252379c60ca5bc07e25d8f26fecfa9ad1d899987be8865e6d6a47ef2",
    input={
        "cfg": 2.47,
        "steps": 50,
        "width": 2048,
        "height": 2048,
        "prompt": "squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field",
        "denoise": 0.8,
        "scheduler": "sgm_uniform",
        "input_image": "https://replicate.delivery/pbxt/MkFZUXh7QUtpvY81ENJOEH0tueIRKIyn0jETUY8Q15RO29xe/DALL%C2%B7E%202023-10-27%2017.55.26%20-%20Lifestyle%20product%20photo%20showcasing%20a%20glistening%20perfume%20bottle%20on%20a%20wooden%20table%2C%20catching%20the%20ambient%20light.%20In%20the%20soft-focus%20background%2C%20a%20Swedish%20.png",
        "sampler_name": "ddim",
        "output_format": "webp",
        "safety_filter": True,
        "output_quality": 95,
        "checkpoint_name": "realvisxlV50_v50Bakedvae.safetensors",
        "negative_prompt": "ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed",
        "ipadapter_end_at": 1,
        "ipadapter_weight": 0.9,
        "ipadapter_start_at": 0,
        "controlnet_strength": 1,
        "lora1_strength_clip": 1,
        "lora2_strength_clip": 0,
        "lora3_strength_clip": 0,
        "lora1_strength_model": 0.5,
        "lora2_strength_model": 0,
        "lora3_strength_model": 0,
        "controlnet_end_percent": 0.5,
        "controlnet_start_percent": 0
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Run goodguy1963/sdxl-finetunes-img2img 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": "08807c2a252379c60ca5bc07e25d8f26fecfa9ad1d899987be8865e6d6a47ef2",
    "input": {
      "cfg": 2.47,
      "steps": 50,
      "width": 2048,
      "height": 2048,
      "prompt": "squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field",
      "denoise": 0.8,
      "scheduler": "sgm_uniform",
      "input_image": "https://replicate.delivery/pbxt/MkFZUXh7QUtpvY81ENJOEH0tueIRKIyn0jETUY8Q15RO29xe/DALL%C2%B7E%202023-10-27%2017.55.26%20-%20Lifestyle%20product%20photo%20showcasing%20a%20glistening%20perfume%20bottle%20on%20a%20wooden%20table%2C%20catching%20the%20ambient%20light.%20In%20the%20soft-focus%20background%2C%20a%20Swedish%20.png",
      "sampler_name": "ddim",
      "output_format": "webp",
      "safety_filter": true,
      "output_quality": 95,
      "checkpoint_name": "realvisxlV50_v50Bakedvae.safetensors",
      "negative_prompt": "ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed",
      "ipadapter_end_at": 1,
      "ipadapter_weight": 0.9,
      "ipadapter_start_at": 0,
      "controlnet_strength": 1,
      "lora1_strength_clip": 1,
      "lora2_strength_clip": 0,
      "lora3_strength_clip": 0,
      "lora1_strength_model": 0.5,
      "lora2_strength_model": 0,
      "lora3_strength_model": 0,
      "controlnet_end_percent": 0.5,
      "controlnet_start_percent": 0
    }
  }' \
  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/goodguy1963/sdxl-finetunes-img2img@sha256:08807c2a252379c60ca5bc07e25d8f26fecfa9ad1d899987be8865e6d6a47ef2 \
  -i 'cfg=2.47' \
  -i 'steps=50' \
  -i 'width=2048' \
  -i 'height=2048' \
  -i 'prompt="squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field"' \
  -i 'denoise=0.8' \
  -i 'scheduler="sgm_uniform"' \
  -i 'input_image="https://replicate.delivery/pbxt/MkFZUXh7QUtpvY81ENJOEH0tueIRKIyn0jETUY8Q15RO29xe/DALL%C2%B7E%202023-10-27%2017.55.26%20-%20Lifestyle%20product%20photo%20showcasing%20a%20glistening%20perfume%20bottle%20on%20a%20wooden%20table%2C%20catching%20the%20ambient%20light.%20In%20the%20soft-focus%20background%2C%20a%20Swedish%20.png"' \
  -i 'sampler_name="ddim"' \
  -i 'output_format="webp"' \
  -i 'safety_filter=true' \
  -i 'output_quality=95' \
  -i 'checkpoint_name="realvisxlV50_v50Bakedvae.safetensors"' \
  -i 'negative_prompt="ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed"' \
  -i 'ipadapter_end_at=1' \
  -i 'ipadapter_weight=0.9' \
  -i 'ipadapter_start_at=0' \
  -i 'controlnet_strength=1' \
  -i 'lora1_strength_clip=1' \
  -i 'lora2_strength_clip=0' \
  -i 'lora3_strength_clip=0' \
  -i 'lora1_strength_model=0.5' \
  -i 'lora2_strength_model=0' \
  -i 'lora3_strength_model=0' \
  -i 'controlnet_end_percent=0.5' \
  -i 'controlnet_start_percent=0'

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/goodguy1963/sdxl-finetunes-img2img@sha256:08807c2a252379c60ca5bc07e25d8f26fecfa9ad1d899987be8865e6d6a47ef2
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "cfg": 2.47,
      "steps": 50,
      "width": 2048,
      "height": 2048,
      "prompt": "squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field",
      "denoise": 0.8,
      "scheduler": "sgm_uniform",
      "input_image": "https://replicate.delivery/pbxt/MkFZUXh7QUtpvY81ENJOEH0tueIRKIyn0jETUY8Q15RO29xe/DALL%C2%B7E%202023-10-27%2017.55.26%20-%20Lifestyle%20product%20photo%20showcasing%20a%20glistening%20perfume%20bottle%20on%20a%20wooden%20table%2C%20catching%20the%20ambient%20light.%20In%20the%20soft-focus%20background%2C%20a%20Swedish%20.png",
      "sampler_name": "ddim",
      "output_format": "webp",
      "safety_filter": true,
      "output_quality": 95,
      "checkpoint_name": "realvisxlV50_v50Bakedvae.safetensors",
      "negative_prompt": "ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed",
      "ipadapter_end_at": 1,
      "ipadapter_weight": 0.9,
      "ipadapter_start_at": 0,
      "controlnet_strength": 1,
      "lora1_strength_clip": 1,
      "lora2_strength_clip": 0,
      "lora3_strength_clip": 0,
      "lora1_strength_model": 0.5,
      "lora2_strength_model": 0,
      "lora3_strength_model": 0,
      "controlnet_end_percent": 0.5,
      "controlnet_start_percent": 0
    }
  }' \
  http://localhost:5000/predictions

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

Output

{
  "completed_at": "2025-03-29T17:33:02.027990Z",
  "created_at": "2025-03-29T17:32:43.678000Z",
  "data_removed": false,
  "error": null,
  "id": "1b195e4d3srmc0cnwbv844683g",
  "input": {
    "cfg": 2.47,
    "steps": 50,
    "width": 2048,
    "height": 2048,
    "prompt": "squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field",
    "denoise": 0.8,
    "scheduler": "sgm_uniform",
    "input_image": "https://replicate.delivery/pbxt/MkFZUXh7QUtpvY81ENJOEH0tueIRKIyn0jETUY8Q15RO29xe/DALL%C2%B7E%202023-10-27%2017.55.26%20-%20Lifestyle%20product%20photo%20showcasing%20a%20glistening%20perfume%20bottle%20on%20a%20wooden%20table%2C%20catching%20the%20ambient%20light.%20In%20the%20soft-focus%20background%2C%20a%20Swedish%20.png",
    "sampler_name": "ddim",
    "output_format": "webp",
    "safety_filter": true,
    "output_quality": 95,
    "checkpoint_name": "realvisxlV50_v50Bakedvae.safetensors",
    "negative_prompt": "ugly, deformed, soft, ext, watermark, abstract, big hands, fake, fake hands, distorted, drawing, painting, crayon, sketch, impressionist, worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed",
    "ipadapter_end_at": 1,
    "ipadapter_weight": 0.9,
    "ipadapter_start_at": 0,
    "controlnet_strength": 1,
    "lora1_strength_clip": 1,
    "lora2_strength_clip": 0,
    "lora3_strength_clip": 0,
    "lora1_strength_model": 0.5,
    "lora2_strength_model": 0,
    "lora3_strength_model": 0,
    "controlnet_end_percent": 0.5,
    "controlnet_start_percent": 0
  },
  "logs": "Random seed set to: 4118742531\nModel realvisxlV50_v50Bakedvae.safetensors already exists, skipping download\nModel lora_product_marketing_photo.safetensors already exists, skipping download\nModel OpenPoseXL2.safetensors already exists, skipping download\nModel ip-adapter-plus_sdxl_vit-h.safetensors already exists, skipping download\nModel ip-adapter-plus_sdxl_vit-h_image_encoder.safetensors already exists, skipping download\nModel CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors already exists, skipping download\nDownloaded models for this run: realvisxlV50_v50Bakedvae.safetensors, lora_product_marketing_photo.safetensors, OpenPoseXL2.safetensors, ip-adapter-plus_sdxl_vit-h.safetensors, ip-adapter-plus_sdxl_vit-h_image_encoder.safetensors, CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 325, title: Load Image, class type: LoadImage\nExecuting node 422, title: AIO Aux Preprocessor, class type: AIO_Preprocessor\nExecuting node 259, title: Preview Image, class type: PreviewImage\nExecuting node 208, title: VAE Encode, class type: VAEEncode\nExecuting node 522, title: Apply ControlNet, class type: ControlNetApplyAdvanced\nExecuting node 398, title: Prep Image For ClipVision, class type: PrepImageForClipVision\nExecuting node 399, title: IPAdapter Advanced, class type: IPAdapterAdvanced\nExecuting node 204, title: KSampler, class type: KSampler\n[ComfyUI] Requested to load SDXL\n[ComfyUI] model_path is /src/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts/yzd-v/DWPose/yolox_l.onnx\n[ComfyUI] model_path is /src/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts/hr16/DWPose-TorchScript-BatchSize5/dw-ll_ucoco_384_bs5.torchscript.pt\n[ComfyUI]\n[ComfyUI] DWPose: Using yolox_l.onnx for bbox detection and dw-ll_ucoco_384_bs5.torchscript.pt for pose estimation\n[ComfyUI]\n[ComfyUI] DWPose: Bbox 11.63ms\n[ComfyUI] DWPose: Pose 11.46ms on 1 people\n[ComfyUI]\n[ComfyUI] 0%|          | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏         | 1/50 [00:00<00:08,  5.75it/s]\n[ComfyUI] 4%|▍         | 2/50 [00:00<00:08,  5.59it/s]\n[ComfyUI] 6%|▌         | 3/50 [00:00<00:08,  5.52it/s]\n[ComfyUI] 8%|▊         | 4/50 [00:00<00:08,  5.49it/s]\n[ComfyUI] 10%|█         | 5/50 [00:00<00:08,  5.48it/s]\n[ComfyUI] 12%|█▏        | 6/50 [00:01<00:08,  5.48it/s]\n[ComfyUI] 14%|█▍        | 7/50 [00:01<00:07,  5.48it/s]\n[ComfyUI] 16%|█▌        | 8/50 [00:01<00:07,  5.47it/s]\n[ComfyUI] 18%|█▊        | 9/50 [00:01<00:07,  5.46it/s]\n[ComfyUI] 20%|██        | 10/50 [00:01<00:07,  5.45it/s]\n[ComfyUI] 22%|██▏       | 11/50 [00:02<00:07,  5.45it/s]\n[ComfyUI] 24%|██▍       | 12/50 [00:02<00:06,  5.45it/s]\n[ComfyUI] 26%|██▌       | 13/50 [00:02<00:06,  5.45it/s]\n[ComfyUI] 28%|██▊       | 14/50 [00:02<00:06,  5.45it/s]\n[ComfyUI] 30%|███       | 15/50 [00:02<00:06,  5.45it/s]\n[ComfyUI] 32%|███▏      | 16/50 [00:02<00:06,  5.45it/s]\n[ComfyUI] 34%|███▍      | 17/50 [00:03<00:06,  5.45it/s]\n[ComfyUI] 36%|███▌      | 18/50 [00:03<00:05,  5.45it/s]\n[ComfyUI] 38%|███▊      | 19/50 [00:03<00:05,  5.45it/s]\n[ComfyUI] 40%|████      | 20/50 [00:03<00:05,  5.44it/s]\n[ComfyUI] 42%|████▏     | 21/50 [00:03<00:04,  5.97it/s]\n[ComfyUI] 44%|████▍     | 22/50 [00:03<00:04,  6.42it/s]\n[ComfyUI] 46%|████▌     | 23/50 [00:04<00:03,  6.78it/s]\n[ComfyUI] 48%|████▊     | 24/50 [00:04<00:03,  7.04it/s]\n[ComfyUI] 50%|█████     | 25/50 [00:04<00:03,  7.25it/s]\n[ComfyUI] 52%|█████▏    | 26/50 [00:04<00:03,  7.39it/s]\n[ComfyUI] 54%|█████▍    | 27/50 [00:04<00:03,  7.51it/s]\n[ComfyUI] 56%|█████▌    | 28/50 [00:04<00:02,  7.57it/s]\n[ComfyUI] 58%|█████▊    | 29/50 [00:04<00:02,  7.64it/s]\n[ComfyUI] 60%|██████    | 30/50 [00:04<00:02,  7.69it/s]\n[ComfyUI] 62%|██████▏   | 31/50 [00:05<00:02,  7.72it/s]\n[ComfyUI] 64%|██████▍   | 32/50 [00:05<00:02,  7.76it/s]\n[ComfyUI] 66%|██████▌   | 33/50 [00:05<00:02,  7.75it/s]\n[ComfyUI] 68%|██████▊   | 34/50 [00:05<00:02,  7.76it/s]\n[ComfyUI] 70%|███████   | 35/50 [00:05<00:01,  7.76it/s]\n[ComfyUI] 72%|███████▏  | 36/50 [00:05<00:01,  7.76it/s]\n[ComfyUI] 74%|███████▍  | 37/50 [00:05<00:01,  7.75it/s]\n[ComfyUI] 76%|███████▌  | 38/50 [00:05<00:01,  7.75it/s]\n[ComfyUI] 78%|███████▊  | 39/50 [00:06<00:01,  7.77it/s]\n[ComfyUI] 80%|████████  | 40/50 [00:06<00:01,  7.77it/s]\n[ComfyUI] 82%|████████▏ | 41/50 [00:06<00:01,  7.13it/s]\n[ComfyUI] 84%|████████▍ | 42/50 [00:06<00:01,  7.31it/s]\n[ComfyUI] 86%|████████▌ | 43/50 [00:06<00:00,  7.44it/s]\n[ComfyUI] 88%|████████▊ | 44/50 [00:06<00:00,  7.53it/s]\n[ComfyUI] 90%|█████████ | 45/50 [00:06<00:00,  7.59it/s]\n[ComfyUI] 92%|█████████▏| 46/50 [00:07<00:00,  7.64it/s]\n[ComfyUI] 94%|█████████▍| 47/50 [00:07<00:00,  7.67it/s]\n[ComfyUI] 96%|█████████▌| 48/50 [00:07<00:00,  7.70it/s]\n[ComfyUI] 98%|█████████▊| 49/50 [00:07<00:00,  7.71it/s]\n[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  7.74it/s]\nExecuting node 534, title: Upscale Latent, class type: LatentUpscale\nExecuting node 535, title: KSampler, class type: KSampler\n[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  6.61it/s]\n[ComfyUI]\n[ComfyUI] 0%|          | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏         | 1/50 [00:00<00:08,  5.63it/s]\n[ComfyUI] 4%|▍         | 2/50 [00:00<00:08,  5.49it/s]\n[ComfyUI] 6%|▌         | 3/50 [00:00<00:08,  5.47it/s]\n[ComfyUI] 8%|▊         | 4/50 [00:00<00:08,  5.46it/s]\n[ComfyUI] 10%|█         | 5/50 [00:00<00:08,  5.45it/s]\n[ComfyUI] 12%|█▏        | 6/50 [00:01<00:08,  5.45it/s]\n[ComfyUI] 14%|█▍        | 7/50 [00:01<00:07,  5.44it/s]\n[ComfyUI] 16%|█▌        | 8/50 [00:01<00:07,  5.44it/s]\n[ComfyUI] 18%|█▊        | 9/50 [00:01<00:07,  5.44it/s]\n[ComfyUI] 20%|██        | 10/50 [00:01<00:07,  5.43it/s]\n[ComfyUI] 22%|██▏       | 11/50 [00:02<00:07,  5.43it/s]\n[ComfyUI] 24%|██▍       | 12/50 [00:02<00:07,  5.43it/s]\n[ComfyUI] 26%|██▌       | 13/50 [00:02<00:06,  5.43it/s]\n[ComfyUI] 28%|██▊       | 14/50 [00:02<00:06,  5.42it/s]\n[ComfyUI] 30%|███       | 15/50 [00:02<00:06,  5.42it/s]\n[ComfyUI] 32%|███▏      | 16/50 [00:02<00:06,  5.42it/s]\n[ComfyUI] 34%|███▍      | 17/50 [00:03<00:06,  5.42it/s]\n[ComfyUI] 36%|███▌      | 18/50 [00:03<00:05,  5.42it/s]\n[ComfyUI] 38%|███▊      | 19/50 [00:03<00:05,  5.42it/s]\n[ComfyUI] 40%|████      | 20/50 [00:03<00:05,  5.43it/s]\n[ComfyUI] 42%|████▏     | 21/50 [00:03<00:04,  5.95it/s]\n[ComfyUI] 44%|████▍     | 22/50 [00:03<00:04,  6.40it/s]\n[ComfyUI] 46%|████▌     | 23/50 [00:04<00:04,  6.74it/s]\n[ComfyUI] 48%|████▊     | 24/50 [00:04<00:03,  7.01it/s]\n[ComfyUI] 50%|█████     | 25/50 [00:04<00:03,  7.22it/s]\n[ComfyUI] 52%|█████▏    | 26/50 [00:04<00:03,  7.36it/s]\n[ComfyUI] 54%|█████▍    | 27/50 [00:04<00:03,  7.47it/s]\n[ComfyUI] 56%|█████▌    | 28/50 [00:04<00:02,  7.54it/s]\n[ComfyUI] 58%|█████▊    | 29/50 [00:04<00:02,  7.58it/s]\n[ComfyUI] 60%|██████    | 30/50 [00:04<00:02,  7.63it/s]\n[ComfyUI] 62%|██████▏   | 31/50 [00:05<00:02,  7.66it/s]\n[ComfyUI] 64%|██████▍   | 32/50 [00:05<00:02,  7.69it/s]\n[ComfyUI] 66%|██████▌   | 33/50 [00:05<00:02,  7.70it/s]\n[ComfyUI] 68%|██████▊   | 34/50 [00:05<00:02,  7.70it/s]\n[ComfyUI] 70%|███████   | 35/50 [00:05<00:01,  7.71it/s]\n[ComfyUI] 72%|███████▏  | 36/50 [00:05<00:01,  7.70it/s]\n[ComfyUI] 74%|███████▍  | 37/50 [00:05<00:01,  7.71it/s]\n[ComfyUI] 76%|███████▌  | 38/50 [00:06<00:01,  7.71it/s]\n[ComfyUI] 78%|███████▊  | 39/50 [00:06<00:01,  7.73it/s]\n[ComfyUI] 80%|████████  | 40/50 [00:06<00:01,  7.72it/s]\n[ComfyUI] 82%|████████▏ | 41/50 [00:06<00:01,  7.71it/s]\n[ComfyUI] 84%|████████▍ | 42/50 [00:06<00:01,  7.71it/s]\n[ComfyUI] 86%|████████▌ | 43/50 [00:06<00:00,  7.71it/s]\n[ComfyUI] 88%|████████▊ | 44/50 [00:06<00:00,  7.68it/s]\n[ComfyUI] 90%|█████████ | 45/50 [00:06<00:00,  7.69it/s]\n[ComfyUI] 92%|█████████▏| 46/50 [00:07<00:00,  7.69it/s]\n[ComfyUI] 94%|█████████▍| 47/50 [00:07<00:00,  7.71it/s]\n[ComfyUI] 96%|█████████▌| 48/50 [00:07<00:00,  7.70it/s]\n[ComfyUI] 98%|█████████▊| 49/50 [00:07<00:00,  7.71it/s]\n[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  7.71it/s]\nExecuting node 538, title: VAE Decode, class type: VAEDecode\nExecuting node 536, title: Save Image, class type: SaveImage\n[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  6.61it/s]\n[ComfyUI] Prompt executed in 17.41 seconds\noutputs:  {'259': {'images': [{'filename': 'ComfyUI_temp_bpjxg_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '536': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '422': {'openpose_json': ['[\\n    {\\n        \"people\": [\\n            {\\n                \"pose_keypoints_2d\": [\\n                    618.9802837744355,\\n                    242.14840033650398,\\n                    1.0,\\n                    725.4969502054155,\\n                    379.9580987133086,\\n                    1.0,\\n                    593.7051425874233,\\n                    403.42787267267704,\\n                    1.0,\\n                    505.8439375087619,\\n                    707.9331450685859,\\n           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                 1.0,\\n                    611.7588148638606,\\n                    295.10583901405334,\\n                    1.0,\\n                    608.1480804085732,\\n                    291.4951045587659,\\n                    1.0,\\n                    616.5731274709105,\\n                    289.0879482552409,\\n                    1.0,\\n                    623.7945963814855,\\n                    286.68079195171595,\\n                    1.0,\\n                    640.6446905061603,\\n                    285.47721379995346,\\n                    1.0,\\n                    656.2912064790726,\\n                    285.47721379995346,\\n                    1.0,\\n                    639.4411123543978,\\n                    285.47721379995346,\\n                    1.0,\\n                    623.7945963814855,\\n                    287.88437010347843,\\n                    1.0,\\n                    616.5731274709105,\\n                    289.0879482552409,\\n                    1.0,\\n                    593.7051425874233,\\n                    209.65179023891687,\\n                    1.0,\\n                    663.5126753896475,\\n                    197.61600872129202,\\n                    1.0\\n                ],\\n                \"hand_left_keypoints_2d\": [\\n                    653.8840501755476,\\n                    645.3470811769366,\\n                    1.0,\\n                    621.3874400779605,\\n                    683.8615820333362,\\n                    1.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0,\\n                    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0.0,\\n                    0.0,\\n                    0.0,\\n                    0.0\\n                ],\\n                \"hand_right_keypoints_2d\": [\\n                    570.8371577039361,\\n                    434.72090461850166,\\n                    1.0,\\n                    591.2979862838984,\\n                    399.8171382173896,\\n                    1.0,\\n                    611.7588148638606,\\n                    376.94915333390236,\\n                    1.0,\\n                    623.7945963814855,\\n                    351.67401214689016,\\n                    1.0,\\n                    641.8482686579227,\\n                    334.82391802221537,\\n                    1.0,\\n                    592.5015644356608,\\n                    328.80602726340294,\\n                    1.0,\\n                    618.9802837744355,\\n                    319.17740204930305,\\n                    1.0,\\n                    640.6446905061603,\\n                    339.6382306292653,\\n                    1.0,\\n                    656.2912064790726,\\n                    361.30263736099005,\\n                    1.0,\\n                    585.2800955250859,\\n                    327.60244911164045,\\n                    1.0,\\n                    617.776705622673,\\n                    320.38098020106554,\\n                    1.0,\\n                    643.0518468096852,\\n                    348.0632776916027,\\n                    1.0,\\n                    658.6983627825975,\\n                    378.15273148566484,\\n                    1.0,\\n                    579.2622047662735,\\n                    327.60244911164045,\\n                    1.0,\\n                    612.9623930156231,\\n                    325.1952928081155,\\n                    1.0,\\n                    638.2375342026353,\\n                    354.08116845041513,\\n                    1.0,\\n                    650.2733157202601,\\n                    384.1706222444773,\\n                    1.0,\\n                    574.4478921592236,\\n                    333.6203398704529,\\n                    1.0,\\n                    600.9266114979982,\\n                    332.4167617186904,\\n                    1.0,\\n                    622.591018229723,\\n                    348.0632776916027,\\n                    1.0,\\n                    632.2196434438229,\\n                    373.3384188786149,\\n                    1.0\\n                ]\\n            }\\n        ],\\n        \"canvas_height\": 1024,\\n        \"canvas_width\": 1024\\n    }\\n]']}, '206': {'text': ['product marketing photo, squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field']}}\n====================================\nComfyUI_00001_.png\nNSFW filter API error: {\"detail\":\"Failed to parse request body as JSON: invalid character '-' in numeric literal\",\"status\":400}",
  "metrics": {
    "predict_time": 18.341334868,
    "total_time": 18.34999
  },
  "output": [
    "https://replicate.delivery/xezq/fEGUWx6rBj1iGin9NY6qsMHEk05COT1epdAuwr6JrnRODe6oA/ComfyUI_00001_.webp"
  ],
  "started_at": "2025-03-29T17:32:43.686655Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-p5u3whhipjsukwfgwjf4s5li6uf4t3u4hvmq7q3i7jacny6vm4rq",
    "get": "https://api.replicate.com/v1/predictions/1b195e4d3srmc0cnwbv844683g",
    "cancel": "https://api.replicate.com/v1/predictions/1b195e4d3srmc0cnwbv844683g/cancel"
  },
  "version": "ad440b43e31f31a1f9cdee75a034e2db2c6c9c62b2c24c780f26405f61537f7a"
}

Generated in

18.4 seconds

Tweak it ShareReport

Random seed set to: 4118742531
Model realvisxlV50_v50Bakedvae.safetensors already exists, skipping download
Model lora_product_marketing_photo.safetensors already exists, skipping download
Model OpenPoseXL2.safetensors already exists, skipping download
Model ip-adapter-plus_sdxl_vit-h.safetensors already exists, skipping download
Model ip-adapter-plus_sdxl_vit-h_image_encoder.safetensors already exists, skipping download
Model CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors already exists, skipping download
Downloaded models for this run: realvisxlV50_v50Bakedvae.safetensors, lora_product_marketing_photo.safetensors, OpenPoseXL2.safetensors, ip-adapter-plus_sdxl_vit-h.safetensors, ip-adapter-plus_sdxl_vit-h_image_encoder.safetensors, CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors
Running workflow
[ComfyUI] got prompt
Executing node 325, title: Load Image, class type: LoadImage
Executing node 422, title: AIO Aux Preprocessor, class type: AIO_Preprocessor
Executing node 259, title: Preview Image, class type: PreviewImage
Executing node 208, title: VAE Encode, class type: VAEEncode
Executing node 522, title: Apply ControlNet, class type: ControlNetApplyAdvanced
Executing node 398, title: Prep Image For ClipVision, class type: PrepImageForClipVision
Executing node 399, title: IPAdapter Advanced, class type: IPAdapterAdvanced
Executing node 204, title: KSampler, class type: KSampler
[ComfyUI] Requested to load SDXL
[ComfyUI] model_path is /src/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts/yzd-v/DWPose/yolox_l.onnx
[ComfyUI] model_path is /src/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts/hr16/DWPose-TorchScript-BatchSize5/dw-ll_ucoco_384_bs5.torchscript.pt
[ComfyUI]
[ComfyUI] DWPose: Using yolox_l.onnx for bbox detection and dw-ll_ucoco_384_bs5.torchscript.pt for pose estimation
[ComfyUI]
[ComfyUI] DWPose: Bbox 11.63ms
[ComfyUI] DWPose: Pose 11.46ms on 1 people
[ComfyUI]
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[ComfyUI] 78%|███████▊  | 39/50 [00:06<00:01,  7.77it/s]
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[ComfyUI] 82%|████████▏ | 41/50 [00:06<00:01,  7.13it/s]
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[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  7.74it/s]
Executing node 534, title: Upscale Latent, class type: LatentUpscale
Executing node 535, title: KSampler, class type: KSampler
[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  6.61it/s]
[ComfyUI]
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[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  7.71it/s]
Executing node 538, title: VAE Decode, class type: VAEDecode
Executing node 536, title: Save Image, class type: SaveImage
[ComfyUI] 100%|██████████| 50/50 [00:07<00:00,  6.61it/s]
[ComfyUI] Prompt executed in 17.41 seconds
outputs:  {'259': {'images': [{'filename': 'ComfyUI_temp_bpjxg_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '536': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '422': {'openpose_json': ['[\n    {\n        "people": [\n            {\n                "pose_keypoints_2d": [\n                    618.9802837744355,\n                    242.14840033650398,\n                    1.0,\n                    725.4969502054155,\n                    379.9580987133086,\n                    1.0,\n                    593.7051425874233,\n                    403.42787267267704,\n                    1.0,\n                    505.8439375087619,\n                    707.9331450685859,\n                    1.0,\n                    549.1727509722114,\n                    450.367420591414,\n                    1.0,\n                    857.2887578234076,\n                    356.4883247539401,\n                    1.0,\n                    875.3424300998449,\n                    676.6401131227612,\n                    1.0,\n                    668.3269879966974,\n                    781.3514123260975,\n                    1.0,\n                    631.0160652920604,\n                    871.6197737082839,\n                    1.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    822.3849914222956,\n                    871.6197737082839,\n                    1.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    0.0,\n                    593.7051425874233,\n                    209.65179023891687,\n                    1.0,\n                    663.5126753896475,\n                    197.61600872129202,\n                    1.0,\n                    575.651470310986,\n                    234.92693142592907,\n                    1.0,\n                    764.6132401376963,\n                    215.6696809977293,\n                    1.0\n                ],\n                "face_keypoints_2d": [\n                    576.8550484627485,\n                    212.05894654244184,\n                    1.0,\n                    576.8550484627485,\n                    234.92693142592907,\n                    1.0,\n                    579.2622047662735,\n                    256.5913381576538,\n                    1.0,\n                    585.2800955250859,\n                    277.05216673761606,\n                    1.0,\n                    593.7051425874233,\n                    296.30941716581583,\n                    1.0,\n                    603.3337678015232,\n                    314.3630894422531,\n                    1.0,\n                    617.776705622673,\n                    331.2131835669279,\n                    1.0,\n                    637.0339560508728,\n                    336.02749617397785,\n  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284.273635648191,\n                    1.0,\n                    649.0697375684977,\n                    291.4951045587659,\n                    1.0,\n                    637.0339560508728,\n                    296.30941716581583,\n                    1.0,\n                    624.998174533248,\n                    298.7165734693408,\n                    1.0,\n                    617.776705622673,\n                    298.7165734693408,\n                    1.0,\n                    611.7588148638606,\n                    295.10583901405334,\n                    1.0,\n                    608.1480804085732,\n                    291.4951045587659,\n                    1.0,\n                    616.5731274709105,\n                    289.0879482552409,\n                    1.0,\n                    623.7945963814855,\n                    286.68079195171595,\n                    1.0,\n                    640.6446905061603,\n                    285.47721379995346,\n                    1.0,\n                    656.2912064790726,\n                    285.47721379995346,\n                    1.0,\n                    639.4411123543978,\n                    285.47721379995346,\n                    1.0,\n                    623.7945963814855,\n                    287.88437010347843,\n                    1.0,\n                    616.5731274709105,\n                    289.0879482552409,\n                    1.0,\n                    593.7051425874233,\n                    209.65179023891687,\n                    1.0,\n                    663.5126753896475,\n                    197.61600872129202,\n                    1.0\n                ],\n                "hand_left_keypoints_2d": [\n                    653.8840501755476,\n                    645.3470811769366,\n                    1.0,\n                    621.3874400779605,\n                    683.8615820333362,\n                    1.0,\n                    0.0,\n                    0.0,\n                    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1.0,\n                    612.9623930156231,\n                    325.1952928081155,\n                    1.0,\n                    638.2375342026353,\n                    354.08116845041513,\n                    1.0,\n                    650.2733157202601,\n                    384.1706222444773,\n                    1.0,\n                    574.4478921592236,\n                    333.6203398704529,\n                    1.0,\n                    600.9266114979982,\n                    332.4167617186904,\n                    1.0,\n                    622.591018229723,\n                    348.0632776916027,\n                    1.0,\n                    632.2196434438229,\n                    373.3384188786149,\n                    1.0\n                ]\n            }\n        ],\n        "canvas_height": 1024,\n        "canvas_width": 1024\n    }\n]']}, '206': {'text': ['product marketing photo, squirrel sitting on a table with a candle and a bottle of perfume, highly detailed scene, highly detailed composition, high quality, detailed, photorealistic, perfect eyes, bokeh, photo, perfect light, detailed style, depth of field']}}
====================================
ComfyUI_00001_.png
NSFW filter API error: {"detail":"Failed to parse request body as JSON: invalid character '-' in numeric literal","status":400}

This output was created using a different version of the model, goodguy1963/sdxl-finetunes-img2img:ad440b43.