Detailed Comparison of JoyCaption Alpha One vs JoyCaption Pre-Alpha — 10 Different Style Amazing Images — I think JoyCaption Alpha One is the very best image captioning model at the moment for model training — Works very fast and requires as low as 8.5 GB VRAM
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Detailed Comparison of JoyCaption Alpha One vs JoyCaption Pre-Alpha — 10 Different Style Amazing Images — I think JoyCaption Alpha One is the very best image captioning model at the moment for model training — Works very fast and requires as low as 8.5 GB VRAM
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Where To Download And Install
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Where To Download And Install
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You can download our APP from here : 
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You can download our APP from here : 
https://www.patreon.com/posts/110613301
https://www.patreon.com/posts/110613301
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1-Click to install on Windows, RunPod and Massed Compute
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1-Click to install on Windows, RunPod and Massed Compute
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Official APP is here where you can try : 
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Official APP is here where you can try : 
https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-one
fancyfeast/joy-caption-alpha-one
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https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-one
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Have The Following Features
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Have The Following Features
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Auto downloads meta-llama/Meta-Llama-3.1–8B into your Hugging Face cache folder and other necessary models into the installation folder
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Auto downloads meta-llama/Meta-Llama-3.1–8B into your Hugging Face cache folder and other necessary models into the installation folder
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Use 4-bit quantization — Uses 8.5 GB VRAM Total
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Use 4-bit quantization — Uses 8.5 GB VRAM Total
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Overwrite existing caption file
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Overwrite existing caption file
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Append new caption to existing caption
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Append new caption to existing caption
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Remove newlines from generated captions
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Remove newlines from generated captions
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Cut off at last complete sentence
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Cut off at last complete sentence
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Discard repeating sentences
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Discard repeating sentences
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Don’t save processed image
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Don’t save processed image
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Caption Prefix
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Caption Prefix
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Caption Suffix
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Caption Suffix
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Custom System Prompt (Optional)
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Custom System Prompt (Optional)
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Input Folder for Batch Processing
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Input Folder for Batch Processing
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Output Folder for Batch Processing (Optional)
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Output Folder for Batch Processing (Optional)
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Fully supported Multi GPU captioning — GPU IDs (comma-separated, e.g., 0,1,2)
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Fully supported Multi GPU captioning — GPU IDs (comma-separated, e.g., 0,1,2)
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Batch Size — Batch captioning
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Batch Size — Batch captioning
Detailed Comparison of JoyCaption Alpha One vs JoyCaption Pre-Alpha — 10 Different Style Amazing Images — I think JoyCaption Alpha One is the very best image captioning model at the moment for model training — Works very fast and requires as low as 8.5 GB VRAM

Where To Download And Install

You can download our APP from here : https://www.patreon.com/posts/110613301

1-Click to install on Windows, RunPod and Massed Compute
Official APP is here where you can try : https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-one

Have The Following Features

Auto downloads meta-llama/Meta-Llama-3.1–8B into your Hugging Face cache folder and other necessary models into the installation folder

Use 4-bit quantization — Uses 8.5 GB VRAM Total

Overwrite existing caption file

Append new caption to existing caption

Remove newlines from generated captions

Cut off at last complete sentence

Discard repeating sentences

Don’t save processed image

Caption Prefix

Caption Suffix

Custom System Prompt (Optional)

Input Folder for Batch Processing

Output Folder for Batch Processing (Optional)

Fully supported Multi GPU captioning — GPU IDs (comma-separated, e.g., 0,1,2)

Batch Size — Batch captioning
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