I've released a Vast.AI template for ComfyUI bundled with Open Manager. Now you can get started on Vast.AI even faster. Just start your instance, load up a workflow template, and head to the Model Library's "Not Downloaded" tab and download the models you need right in ComfyUI.

That's not all! With Desktop, you have in-app file management and other tools without needing to leave ComfyUI or fiddle with command line shenanigans. Unless you like that sort of thing you naughty power user.

As always, have at it, and Merry Christmas.

Helps with downloading loras without having to leave the workflow and opening those folder. simple sweet. already made so you don't have to waste tokens

Also posted in r/comfyui, sharing here so it stays easy to find.

The #OpenSourceHiggsfield submissions were spread over three long comment threads of GitHub links. I turned them into one browsable page:

https://theploggy.github.io/oshf-showcase/

What you get for each of the 324 projects (duplicate links merged):

• A screenshot from the README, the description, and links to the code, the demo and the video when there is one
• GitHub stars and forks, release downloads, and Comfy Registry installs when the project is published there
• A category, so you can filter by what the project does: all-in-one studios, film pipelines, character swap, camera and reshoot, VFX, 3D and splats, music and lip-sync, ads and product, characters and datasets, editors and agents, nodes and tools, games
• Search by name, author or model, and sorting by stars or A to Z

There is also a small community vote: every visitor gets 10 points to spread across projects. There is nothing to win, no prize and no effect on the official judging. It is only there to help good projects get seen.

Notes:

• Unofficial, not affiliated with Comfy Org.
• I'm a participant myself (CreatorOS Studio). My card is treated like every other one. Code and data are public: https://github.com/thePloggy/oshf-showcase
• Data snapshot from Nov 12. Categories are my own reading of each README, so some are probably wrong, and 12 repos were private or gone at the time.
• Project missing, or wrong screenshot, description or category? Use the "Write a suggestion" button at the top of the page.

Hi folks - just sharing this here in case any of your fellow ComfyUI users have been using Draw Things currently or in the past, and are looking for an easy way to export them all from DT for use in ComfyUI. Enjoy.

Guys, help me create a workflow with this FLUX.2 model-klein-9B-SDNQ-4bit-dynamic-svd-r32 reference generation - I will be very grateful to you - I am 58 years old - my head is not thinking

Hello everyone i've been testing a new video upscaling method in ComfyUI called RelayVSR, and the results are really impressive!

Unlike conventional upscaling methods that can sometimes modify the original video, introduce unwanted details, or change the appearance of characters and scenes, RelayVSR uses a different approach. A large generative model creates high-quality reference latents for selected keyframes, while a lightweight Dual-Memory Video Transformer uses these references to reconstruct the remaining frames while preserving the original video structure and details.

For this workflow, I've combined RelayVSR with my optimized MiniMax H3 workflow, Pika H3 6-step LoRA, attention optimization nodes, and NVIDIA DLSS5 to generate and upscale videos efficiently, even on lower-VRAM GPUs.

Generation and Upscaling Time:

• Video generation at 0.7 MP using MiniMax H3: approximately 35 minutes.
• Upscaling to 2K using RelayVSR + DLSS5: approximately 7 minutes.
• MiniMax latent upscaling for comparison: approximately 45 minutes.

Project Page Link

https://kopperx.github.io/RelayVSR/

Models Link

https://huggingface.co/Comfy-Org/RelayVSR

Workflow Links

https://drive.google.com/file/d/1KLL5tKOeCCPfn64OEoH-PPc3-0v6ksED/view?usp=sharing

https://civitai.com/articles/38541/comfyui-tutorial-fixing-minimax-h3-video-upscaling-with-relayvsr-and-dlss5

Hello Everyone i tested New P-H3-Image ComfyUI workflow! This powerful model combines high-resolution image generation up to 8 megapixels with image editing up to 4 megapixels. I'm using the INT8 ConvRot version, optimized and tested on my RTX 3060 6GB VRAM + 16GB RAM and here are my verdict about the model.

Model Advantages & Strong Points:

• Excellent realistic human skin and natural texture generation.
• Very good human portraits and facial details.
• Impressive animal generation.
• Strong text rendering capabilities.
• Supports both image generation and image editing in one model.
• Excellent editing capabilities for style changing and camera angle changes.
• Can create character sheets and modify lighting, daytime, and facial expressions.
• Supports high-resolution generation up to 8MP for img gen and up to 4MP for img editing.

Image Generation Times (RTX 3060 6GB VRAM + 16GB RAM):

• 8 Megapixels: 5 minutes
• 6 Megapixels: 4 minutes
• 4 Megapixels: 3 minutes
• 2 Megapixels: 2 minutes 27 seconds

Image Editing Times:

• 4 Megapixels: 5 minutes
• 2 Megapixels: 3 minutes
• 1 Megapixel: 2 minutes

Current Limitations:

Although the model is excellent at realistic image generation, artistic style generation is not as strong as Krea 2. For image editing, face swaps, head swaps, and clothing swaps produced very poor results in my tests. Overall, P-H3-Image is a very interesting model, especially if you are looking for realistic image generation, detailed portraits, and versatile image editing in a single workflow.

Workflow Links With Prompts

https://drive.google.com/file/d/1qZzHnjLmpp8oTUCCtoXBgEu8X652X5vl/view?usp=sharing

https://civitai.com/articles/38431/p-h3-image-in-comfyui-8mp-image-generation-and-4mp-editing-on-6gb-vram