Prompt Plus is a collection of LLM and VLM nodes that make prompting easier for image and video generation.
⭐ Trigger Words to Prompt / Trigger2Prompt
⭐ Guided VLM Prompter / VLM2Prompt
Let's use combine any number of trigger words and combine them into a single prompt through a guided approach. This can be useful if you're running a VLM node or captioner on multiple images and need to combine the data into a prompt. This is especially useful for video generation workflows like LTXV which requires a large caption to work properly. There are three variations to this node > [API] uses ChatGPT/Claude for processing, [Custom] uses Phi-3.5-mini for local processing, and [Simple] let's you parse the string as it is without any processing.
Let's you use a VLM along with a guidance prompt to generate captions. This can be useful if you want to generate prompts from images with some level of tweaking. This is especially useful for video generation workflows like LTXV which requires a large caption to work properly. There are two variations to this node > [API] uses ChatGPT/Claude for processing, [Custom] uses Florence for local processing
Includes a few nodes that support Trigger2Prompt and Guided VLM.
Download the "flux_example.json" to test the full workflow.
41 commits
Python
81.9%
JavaScript
18.1%
Prompt Plus is a collection of LLM and VLM nodes that make prompting easier for image and video generation.
⭐ Trigger Words to Prompt / Trigger2Prompt
⭐ Guided VLM Prompter / VLM2Prompt
Let's use combine any number of trigger words and combine them into a single prompt through a guided approach. This can be useful if you're running a VLM node or captioner on multiple images and need to combine the data into a prompt. This is especially useful for video generation workflows like LTXV which requires a large caption to work properly. There are three variations to this node > [API] uses ChatGPT/Claude for processing, [Custom] uses Phi-3.5-mini for local processing, and [Simple] let's you parse the string as it is without any processing.
Let's you use a VLM along with a guidance prompt to generate captions. This can be useful if you want to generate prompts from images with some level of tweaking. This is especially useful for video generation workflows like LTXV which requires a large caption to work properly. There are two variations to this node > [API] uses ChatGPT/Claude for processing, [Custom] uses Florence for local processing
Includes a few nodes that support Trigger2Prompt and Guided VLM.
Download the "flux_example.json" to test the full workflow.
41 commits
Python
81.9%
JavaScript
18.1%