Creating hyperrealistic consistent characters is now easier than ever - and it's completely FREE!
All you need is one input image in any style. With a single click, my workflow automatically generates a perfect dataset: high-resolution upscaled images in different settings and poses, complete with detailed captions. If you want, you can even load in pose references or dress your character using the virtual try-on section of the workflow.
All of this is based entirely on free, open-source models that you can run on your own computer. But I'm also going to compare the outputs with commercial models so you can decide which approach works best for you.
By the end of this tutorial, you'll know how to create perfect humans or stylized characters, how to train your own LoRA model of these characters if necessary, and how to generate extremely realistic and perfectly consistent HD videos of your characters—all locally on your own computer.
- FREE GUIDE here: https://mickmumpitz.ai/guides/consistent-character-creator
- Runpod [Affiliate]: https://runpod.io?ref=o2xn5klc
- ComfyUI Download: https://docs.comfy.org/installation/comfyui_portable_windows
🔗Download the FREE WORKLFOWS below. 👇
🔗 You can find the FREE QWEN IMAGE EDIT workflow here: https://www.patreon.com/posts/introducing-my-139998677?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link
🔗ADVANCED versions and exclusive example files, loras & datasets here: https://www.patreon.com/posts/advanced-version-140672384?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link
I'll walk you through my complete workflow for creating hyperrealistic consistent characters - all you need is one single input image. From there, you'll discover how to automatically generate perfect training datasets with detailed captions in one click.
You'll learn how to train your own custom character LoRAs for maximum quality and consistency, then master my "Consistent Character Creator" workflow that uses Qwen Image Edit to transfer poses, swap outfits with virtual try-on, and generate characters in any scene you can imagine.
Once your character is ready, I'll show you how to generate absolutely stunning hyperrealistic images using Wan 2.2, and then take it even further by creating cinematic HD and even 4K videos of your character in motion.
And because I know everyone's setup is different, I'll compare results between free open-source models and commercial options like NanoBanana and Seedream 4.0, so you can choose the approach that works best for your hardware and project needs.
Unfortunately, due to a ComfyUI update, I had to replace the image saver node, so the data set is no longer automatically saved in the correct folder. Instead, the images end up in the ComfyUI output folder. If you want to change this, you can manually enter an absolute path where your final data set will be saved.

Roman
2025-12-13 01:38:22 +0000 UTCVojta
2025-12-10 11:52:37 +0000 UTCArtokun
2025-12-05 09:27:20 +0000 UTCY
2025-11-21 02:30:18 +0000 UTCselcuk artut
2025-11-19 18:48:30 +0000 UTCdexboygenius
2025-11-12 20:43:03 +0000 UTCRene Kolo
2025-11-05 04:41:43 +0000 UTCsandra andrade
2025-11-04 22:47:14 +0000 UTCAlex Strothers
2025-11-04 18:47:18 +0000 UTCBrian Gebel
2025-10-30 20:52:49 +0000 UTCDeborah Lees
2025-10-30 00:00:04 +0000 UTCMR
2025-10-22 19:43:21 +0000 UTCMR
2025-10-22 13:59:02 +0000 UTCChris Russell
2025-10-20 23:14:13 +0000 UTCDeafPerv
2025-10-20 14:58:34 +0000 UTCStevie Tee
2025-10-15 06:16:10 +0000 UTCRobert Jacobs
2025-10-11 17:29:40 +0000 UTCRobert Jacobs
2025-10-11 17:22:36 +0000 UTCTom Gottsauner
2025-10-10 08:59:33 +0000 UTCTyler Durden
2025-10-10 08:26:51 +0000 UTCTyler Durden
2025-10-10 07:42:16 +0000 UTCRoman Protsyk
2025-10-09 18:45:27 +0000 UTCRoman Protsyk
2025-10-09 18:28:20 +0000 UTCÅke
2025-10-08 15:10:17 +0000 UTCBERT
2025-10-08 10:27:53 +0000 UTCGhazi N3li
2025-10-08 01:50:01 +0000 UTCSimon Hope
2025-10-08 00:47:05 +0000 UTCAdam Smith
2025-10-07 23:19:27 +0000 UTCKevin Wilkinson
2025-10-07 20:30:51 +0000 UTCM Razor
2025-10-07 17:26:58 +0000 UTC