Creating a new dataset in RunComfy Trainer
RunComfyDemo summary
The user shows how to upload a zipped folder of images and matching text captions to the RunComfy Trainer interface to define a new training dataset.
Step-by-step
- Navigate to the Trainer section on runcomfy.com
- Select Datasets from the top menu
- Click New Dataset
- Enter a name for the dataset and click Create
- Extract the downloaded folder containing images and matching text captions
- Upload the images and caption files to the dataset interface
Watch out for
- Images must be accompanied by matching text captions from a data annotation workflow
Tips
- Use very descriptive prompts in your caption files to best train the LoRA on a specific art style
All demos from “Train a LoRA for LTX 2.3 / Z-Image on RunComfy | Dataset Captioning + AI Toolkit Tutorial”
- 6:381:58Creating a new dataset in RunComfy TrainerCurrentThe user shows how to upload a zipped folder of images and matching text captions to the RunComfy Trainer interface to define a new training dataset.RunComfy· AI Avatar Generator
- 8:362:41Configuring a LoRA training job on RunComfyThe demonstration covers setting up a training job for the Z-Image architecture, including setting the trigger word, step count, and sample prompts for monitoring progress.RunComfy· AI Avatar Generator
- 13:251:10Reviewing LoRA training sample resultsThe creator reviews the output samples from the training process, comparing different step intervals to identify the best art style replication for the D&D monster LoRA.RunComfy· AI Avatar Generator
- Watch “Train a LoRA for LTX 2.3 / Z-Image on RunComfy | Dataset Captioning + AI Toolkit Tutorial” →
AI Avatar Generator
- 6:381:58Creating a new dataset in RunComfy TrainerCurrentThe user shows how to upload a zipped folder of images and matching text captions to the RunComfy Trainer interface to define a new training dataset.Eye For AI
- 8:362:41Configuring a LoRA training job on RunComfyThe demonstration covers setting up a training job for the Z-Image architecture, including setting the trigger word, step count, and sample prompts for monitoring progress.Eye For AI
- 13:251:10Reviewing LoRA training sample resultsThe creator reviews the output samples from the training process, comparing different step intervals to identify the best art style replication for the D&D monster LoRA.Eye For AI