Supported Formats

| | PNG | JPEG | WEBP | TXT* |

|—————————————————————————————-|:—:|:—-:|:—-:|:—-:|

| A1111’s webUI | ✅ | ✅ | ✅ | ✅ |

| Easy Diffusion | ✅ | ✅ | ✅ | |

| StableSwarmUI* | ✅ | ✅ | | |

| StableSwarmUI (prior to 0.5.8-alpha)* | ✅ | ✅ | | |

| Fooocus-MRE* | ✅ | ✅ | | |

| NovelAI (stealth pnginfo) | ✅ | | ✅ | |

| NovelAI (legacy) | ✅ | | | |

| InvokeAI | ✅ | | | |

| InvokeAI (prior to 2.3.5-post.2) | ✅ | | | |

| InvokeAI (prior to 1.15) | ✅ | | | |

| ComfyUI* | ✅ | | | |

| Draw Things | ✅ | | | |

| Naifu(4chan) | ✅ | | | |

See SD Prompt Reader for details

Installation

[!NOTE]

While ZIP package is available, it is strongly recommended not to use it for installation.

Install and update via ComfyUI Manager (Recommended)

Search for SD Prompt Reader in the ComfyUI Manager and install it.

Install manually

Please make sure to install the submodules along with the main repository.

cd to the custom_node folder

Clone this repo

“`shell

git clone –recursive https://github.com/receyuki/comfyui-prompt-reader-node.git

“`

Install dependencies

“`shell

cd comfyui-prompt-reader-node

pip install -r requirements.txt

“`

Update

When updating, don’t forget to include the submodules along with the main repository.

git pull --recurse-submodules

Usage

Prompt Reader Node

The Prompt Reader Node works exactly the same as the

standalone SD Prompt Reader.

It uses the Image Data Reader from the

standalone SD Prompt Reader,

allowing it to support the same formats and receive updates along with the

SD Prompt Reader.

[!IMPORTANT]

Due to custom nodes and complex workflows potentially causing issues with SD Prompt Reader’s ability

to read image metadata correctly, it is recommended to embed the Prompt Saver Node within the workflow

to ensure maximum compatibility.

More Information

parameter_index

For images containing multiple sets of parameters, such as those processed through hires-fix or refiner,

you will need to modify the parameter_index to select the parameters you need

SDXL

For images generated by SDXL and containing multiple sets of prompts,

the text_g will be combined with text_l into a single prompt

Batch Read

For batch processing, please use the Batch Loader node. When using the Batch Loader node for bulk reading,

the preview image will not update, and the text box will only display the metadata of the last image.

Additional Parameters

To read parameters other than the existing output, please connect the settings to the Parameter Extractor node.

MODEL_NAME

MODEL_NAME is a special output that matches the model name in the metadata with the existing models on the server

according to the following priority:

Identical path, filename, and extension.

Identical filename, and extension.

e.g. sd_xl_base.safetensors will be matched with SDXL\sd_xl_base.safetensors, and vice versa.

Identical filename.

e.g. sd_xl_base will be matched with SDXL\sd_xl_base.safetensors, and vice versa.

If a matching model cannot be found, the original name will be outputted.

Prompt Saver Node

The Prompt Saver Node and the Parameter Generator Node are designed to be used together.

The Prompt Saver Node will write additional metadata in the A1111 format to the output images

to be compatible with any tools that support the A1111 format,

including SD Prompt Reader and Civitai.

Due to custom nodes and complex workflows potentially causing issues with SD Prompt Reader’s ability

to read image metadata correctly, it’s recommended to embed this node within the workflow

to ensure maximum compatibility.

[!TIP]

Since it’s not possible to directly extract metadata from KSampler, it’s necessary to

use the Parameter Generator Node to generate parameters and simultaneously output them to

the Prompt Saver Node and KSampler Node.

More Information

Image Format

Only PNG format supports embedding both metadata and workflow at the same time. Other formats can only embed metadata.

Duplicate Filename

When the filename already exists, an index will be added at the end of the filename,

e.g. file.png, file_1.png, file_2.png.

Hashes & Auto-Detection on Civitai

When calculate_hash is enabled, the node will compute the hash values of checkpoint, VAE, Lora,

and embedding/Textual Inversion, and write them into the metadata. After the server restarts, or a new checkpoint,

VAE, Lora, or embedding/Textual Inversion is loaded, the first image generation may take a longer time for hash calculation.

The hash value will be stored in temporary storage without the need for repeated calculation,

until the server is restarted.

When resource_hash is enabled, the resource hashes will be written into the metadata to support auto-detection

on Civitai. This function will only run when calculate_hash is enabled.

If you need to calculate the hash of Lora, please use the Lora Loader Node or the Lora Selector Node.

The hash value of the embedding/Textual Inversion will be automatically detected from the prompt.

save_metadata_file

When the save_metadata_file is turned on, the metadata will be saved as a TXT file with the same name

alongside the image.

date_format & time_format

For the date_format and time_format, please refer to

strftime.org or www.strfti.me.

filename & path

%counter cannot be used for path, it can only be used for filename. This %counter is slightly different

from the %counter in the built-in Saver node, it will count all image files in the path.

Please refer to the following table for placeholders supported by the filename and path.

| | |

|————|————|

| %seed | %date |

| %steps | %time |

| %cfg | %counter |

| %model | %extension |

| %sampler | %quality |

| %scheduler | |

Parameter Generator Node

Since it’s not possible to directly extract metadata from KSampler, it’s necessary to

use the Parameter Generator Node to generate parameters and simultaneously output them to both

the Prompt Saver Node and KSampler Node.

[!TIP]

The Parameter Generator Node can also be used as a control panel for complex ComfyUI workflows, just like the AP workflow.

More Information

Optimal Resolution

The model_version and aspect_ratio are used only for calculating the optimal resolution of the selected

model version under the chosen aspect ratio. The calculation method is based on the

Stability AI development documentation

and the StableSwarmUI source code (developed by Stability AI).

refiner_start

refiner_start refers to the proportion of steps completed when the refiner starts running,

i.e., the proportion of base steps to total steps. This is used to calculate the start_at_step (REFINER_START_STEP)

required by the refiner KSampler under the selected step ratio.

Batch Loader Node

The Batch Loader Node is specifically designed for the Prompt Reader Node to batch-read image files in a directory

and cannot be used with other custom nodes.

More Information

For batch processing, please connect the IMAGE output of the Batch Loader Node to the image input of

the Prompt Reader Node.

path

The path supports relative paths such as ./input/ or absolute paths like C:/Users/receyuki/Pictures.

Both \ and / are acceptable.

You can also input a single file or a list of files into the path,

in which case the image_load_limit and start_index will not function.

Parameter Extractor Node

The Parameter Extractor Node is an extension of the Prompt Reader Node, designed to retrieve the values

of all parameters in the settings (including those parameters that the Prompt Reader Node cannot output).

e.g. Hires upscaler

More Information

Connect the SETTINGS of the Prompt Reader Node to the settings of the Parameter Extractor Node.

After the first run, the parameter list will be loaded.

Prompt Merger Node & Type Converter Node

Since the A1111 format cannot store text_g and text_l separately, SDXL users need to use

the Prompt Merger Node to combine text_g and text_l into a single prompt.

Since model_name, sampler_name, and scheduler are special types

that cannot be directly used by some other nodes,

You can use the Type Converter Node to convert them into STRING type.

Lora Loader Node & Lora Selector Node

The Lora Loader Node and Lora Selector Node are used to write Lora data into metadata and support auto-detection

on Civitai.

More Information

Replace the original loader with the Lora Loader Node, or connect the LORA_NAME output of the Lora Selector Node

to the lora_name input of other lora loaders (built-in or custom), and link the NEXT_LORA output to the lora_name

input of the Prompt Saver Node. Both of these nodes have the same function, please choose according to your needs.

Multiple Loras

If you need to load multiple Loras, please connect the Lora Loader Node or Lora Selector Node head to tail

through last_lora and NEXT_LORA, and connect the NEXT_LORA at the end of the Lora chain to the lora_name input

of the Prompt Saver Node.

Lora Loader chain

Lora Selector chain

Example Workflow

Simple Example

Lora Example

Hires-fix Example

SDXL Example

Credits

The SD Prompt Reader node is based on ComfyUI Load Image With Metadata

The SD Prompt Saver node is based on Comfy Image Saver & Stable Diffusion Webui

The seed generator in the SD Parameter Generator is modified from rgthree’s Comfy Nodes

A special thanks to @alessandroperilli and his AP Workflow for providing numerous suggestions