u/cgpixel23

Hello everyone

Want to get faster MiniMax H3 video generation without sacrificing quality? In this tutorial, I’m testing the new H3 LoRA together with Sage Attention, Sol Attention, and Spectrum nodes to find the best combination for speed and quality. The goal is to push MiniMax H3 as far as possible while cutting generation times by up to 2×, then upscale the results with LTX Upscaler to reach a stunning 2432 × 1344 (2K-class) resolution. By combining both H3 LoRA together with Sage Attention, Sol Attention, and Spectrum nodes I generated video at 0.8 megapixel using "**RTX3060 6GB 16GB RAM "**and I got

 13 minutes vs 41 minutes at 8 steps

 27 minutes vs 52 minutes at 20 steps

LTX 2.3 Upscaler 11 minutes to get 2432 × 1344 resolution

Workflow link

https://civitai.com/articles/34028/comfyui-tutorial-minimax-h3-4-steps-lora-upscaling-2x-faster-generation-best-settings-for-2k-ai

Video Tutorial link

https://youtu.be/ZUzeM9OEJ4Y

I wanted to share a new ComfyUI workflow I've been working on that uses KREA 2 Identity Edit LoRA v1.2 for face swapping and outfit transfer while remaining low VRAM friendly.

The workflow converts the KREA 2 image generation model into a powerful image editing pipeline using the Identity Edit LoRA and a few specialized nodes. Simply load your reference person and reference clothing images, choose whether you want to swap the face, the outfit, or both, and the workflow handles the rest. I also spent time optimizing it to produce cleaner, higher-quality edits with better identity consistency than my previous versions, were you will get your results upscaled by factor of 2 using double ksampler.

One of my main goals was making it accessible to users without high-end hardware, so the workflow has been tested on an RTX 3060 6GB with 16GB RAM.

Workflow Link

https://civitai.com/articles/33423/comfyui-tutorial-krea-2-identity-edit-or-face-and-clothes-swap-on-budget-6gb-vram

Video Tutorial Link

https://youtu.be/AGsH0THbRQY

I wanted to share a new ComfyUI workflow I've been working on that uses KREA 2 Identity Edit LoRA v1.2 for face swapping and outfit transfer while remaining low VRAM friendly.

The workflow converts the KREA 2 image generation model into a powerful image editing pipeline using the Identity Edit LoRA and a few specialized nodes. Simply load your reference person and reference clothing images, choose whether you want to swap the face, the outfit, or both, and the workflow handles the rest. I also spent time optimizing it to produce cleaner, higher-quality edits with better identity consistency than my previous versions, were you will get your results upscaled by factor of 2 using double ksampler.

One of my main goals was making it accessible to users without high-end hardware, so the workflow has been tested on an RTX 3060 6GB with 16GB RAM.

Workflow Link

https://civitai.com/articles/33423/comfyui-tutorial-krea-2-identity-edit-or-face-and-clothes-swap-on-budget-6gb-vram

Video Tutorial Link

https://youtu.be/AGsH0THbRQY

In this tutorial, I'll show you how to use my new ComfyUI KREA 2 Identity Edit v1.2 custom workflow to perform high-quality identity-preserving image editing. You'll learn how to change poses, expressions, and styles while maintaining consistent facial identity, as well as perform face swaps, virtual try-ons, inpainting, and outpainting using the latest KREA 2 Identity Edit v1.2 model. The workflow is designed to be simple to use—just load your reference image, enter your edit prompt, and run the workflow.

Workflow Link

https://civitai.com/articles/33197/comfyui-tutorial-new-krea-2-v12-low-vram-identity-perfect-edit

Video Tutorial Link

https://youtu.be/_fMqornsJo0

In this tutorial, I'll show you how to use my new ComfyUI KREA 2 Identity Edit v1.2 custom workflow to perform high-quality identity-preserving image editing. You'll learn how to change poses, expressions, and styles while maintaining consistent facial identity, as well as perform face swaps, virtual try-ons, inpainting, and outpainting using the latest KREA 2 Identity Edit v1.2 model. The workflow is designed to be simple to use—just load your reference image, enter your edit prompt, and run the workflow.

Workflow Link

https://civitai.com/articles/33197/comfyui-tutorial-new-krea-2-v12-low-vram-identity-perfect-edit

Video Tutorial Link

https://youtu.be/_fMqornsJo0

In this tutorial, I'll show you how to use my new ComfyUI KREA 2 Identity Edit v1.2 custom workflow to perform high-quality identity-preserving image editing. You'll learn how to change poses, expressions, and styles while maintaining consistent facial identity, as well as perform face swaps, virtual try-ons, inpainting, and outpainting using the latest KREA 2 Identity Edit v1.2 model. The workflow is designed to be simple to use—just load your reference image, enter your edit prompt, and run the workflow.

Workflow Link

https://civitai.com/articles/33197/comfyui-tutorial-new-krea-2-v12-low-vram-identity-perfect-edit

Video Tutorial Link

https://youtu.be/_fMqornsJo0

Hey everyone! 👋

I wanted to share a simple workflow using the new KREA 2 LoRA for style transfer.

After testing it quite a bit, I found it gives much more reliable style matching than trying to describe the style through prompting alone. Instead of writing long, detailed style prompts, you can let the LoRA and a reference image do the heavy lifting.

The workflow is straightforward:

1. LORA LINK ostris/krea2_turbo_style_reference · Hugging Face
2. Load the KREA 2 LoRA.
3. Add your style reference image.
4. Write a simple content prompt, for example:

>

That's it. The LoRA transfers the visual style from your reference image while your prompt only describes the subject and composition, making the process much simpler and more consistent.

I'd love to hear what results you get or if you've found any settings that work particularly well.

Hey everyone! 👋

I wanted to share a simple workflow using the new KREA 2 LoRA for style transfer.

After testing it quite a bit, I found it gives much more reliable style matching than trying to describe the style through prompting alone. Instead of writing long, detailed style prompts, you can let the LoRA and a reference image do the heavy lifting.

The workflow is straightforward:

1. LORA LINK ostris/krea2_turbo_style_reference · Hugging Face
2. Load the KREA 2 LoRA.
3. Add your style reference image.
4. Write a simple content prompt, for example:

>

That's it. The LoRA transfers the visual style from your reference image while your prompt only describes the subject and composition, making the process much simpler and more consistent.

I'd love to hear what results you get or if you've found any settings that work particularly well.

Hey everyone! 👋

I wanted to share a simple workflow using the new KREA 2 LoRA for style transfer.

After testing it quite a bit, I found it gives much more reliable style matching than trying to describe the style through prompting alone. Instead of writing long, detailed style prompts, you can let the LoRA and a reference image do the heavy lifting.

The workflow is straightforward:

1. LORA LINK ostris/krea2_turbo_style_reference · Hugging Face
2. Load the KREA 2 LoRA.
3. Add your style reference image.
4. Write a simple content prompt, for example:

>

That's it. The LoRA transfers the visual style from your reference image while your prompt only describes the subject and composition, making the process much simpler and more consistent.

I'd love to hear what results you get or if you've found any settings that work particularly well.

I'm excited to share a WIP about new workflow that makes it easy to generate consistent face-to-video results while remaining optimized for low VRAM GPUs.

This workflow is built around GGUF models and uses a new LoRA to maintain facial consistency throughout the generated video, making it much easier to create videos featuring the same character from a single reference image.

All you have to do is load your image face, load your LORA, enter your prompt and click run, i will share the workflow and tutorial soon, so stay tuned

Hi everyone!

I've just finished a new ComfyUI workflow that lets you transfer camera motion from a reference video using the new IC Cameraman LoRA with LTX 2.3, that run on cards with 6 GB of VRAM without crashing.

The workflow is designed to be simple:

• 🎥 Load a reference video to extract the camera movement.
• 🖼️ Generate or load a reference image (I use Krea 2 in the tutorial).
• ✍️ Use Auto Prompt nodes to automatically create scene descriptions.
• 🎬 Generate a new video with the same cinematic camera motion.

In the tutorial I cover:

• How the IC Cameraman LoRA works
• Complete ComfyUI setup
• Using Krea 2 for image generation
• Auto Prompt integration
• Tips for getting smoother and more cinematic camera movement

WORKFLOW LINK

https://civitai.com/articles/32331/comfyui-tutorial-transfer-camera-motion-using-low-vram-ltx-23-cameraman-lora

VIDEO TUTORIAL LINK

https://youtu.be/LWHbx1EnVvQ

I managed to build a new ComfyUI workflow that uses the Krea 2 Qwen text encoder to generate 2×2 cinematic storyboard grids—without requiring LM Studio or any API server.

All you need to do is describe your story using this simple format:

Realistic survival film.

Panel 1: A lone hiker walks through a dense rainforest during heavy rain.
Panel 2: The hiker discovers an abandoned cabin hidden among the trees.
Panel 3: Inside the cabin, the hiker builds a fire and dries soaked clothes.
Panel 4: The storm clears as the hiker continues the journey at sunrise.

Then just click Run, and the workflow generates a 2×2 storyboard grid from your prompt.

Huge thanks to the original post for the inspiration!

https://www.reddit.com/r/StableDiffusion/comments/1ul3ask/2x2_4_panels_cinematic_storyboards_with_krea2_and/

Workflow Link

https://drive.google.com/file/d/1R1_1si0P0JghMJvE8DnG6UJ-0I2CR3bL/view?usp=sharing

I managed to build a new ComfyUI workflow that uses the Krea 2 Qwen text encoder to generate 2×2 cinematic storyboard grids—without requiring LM Studio or any API server.

All you need to do is describe your story using this simple format:

Realistic survival film.

Panel 1: A lone hiker walks through a dense rainforest during heavy rain.
Panel 2: The hiker discovers an abandoned cabin hidden among the trees.
Panel 3: Inside the cabin, the hiker builds a fire and dries soaked clothes.
Panel 4: The storm clears as the hiker continues the journey at sunrise.

Then just click Run, and the workflow generates a 2×2 storyboard grid from your prompt.

Huge thanks to the original post for the inspiration!

https://www.reddit.com/r/StableDiffusion/comments/1ul3ask/2x2_4_panels_cinematic_storyboards_with_krea2_and/

Workflow Link

https://drive.google.com/file/d/1R1_1si0P0JghMJvE8DnG6UJ-0I2CR3bL/view?usp=sharing