u/MFGREBEL

Hey yall! Stable Audio 3.0 Base and Distilled are available in comfys templates. Just update your comfy and itll be there. Pretty small models, around 9gb in size. Encoders are less than 5gb during run so it all fits inside around 16gb of compute. Offers full song generation, sectional editing, extensions to full song from a section, and just straight up instrument or SFX generation as well.

VERY fast, generating a 2 minute and 40 second song in about 60 seconds or less in some runs. Very coherent but VERY limited in seed variation. I noticed running the same prompt on 3 different seeds essentially gives the same output with a SLIGHTLY different melody. Rhythm percussion will pretty much be exact. Kind of sad but changing prompt slightly can rearrange the output.

Full Youtube video showcase:

https://youtu.be/TU3PvItvSO0

Hey yall, ive updated my nodes and added the ability to edit with HiDream-01 with up to 4 reference images. Supports bf16 and gguf formats with fp8 scaling coming today. (Just a little more challenging and i refuse to cheat and use comfys setup.) Instructions to download/update and install nodes and models if you dont have them already are in the workflow description.

The model may not be the best image generator but it is a VERY good editor. High prompt adherence with quality and composition retainment! Style transfer abilities are honestly insane. There are some very cool outputs in the Youtube video. I was pleasantly suprised. Let me know what you think!

Ive been asked multiple times why i made custom nodes, the reason being i made MY nodes BEFORE Comfy brought them in natively. Im simply adding to them because im proud of my work! 🫶 your welcome to update comfy and just use the native nodes 🤷‍♂️

Workflow:

https://civitai.com/models/2611889/rebels-hidream-01-image-dev

Youtube showcase:

https://youtu.be/iRo-S9oxGe8?si=tSBfVWDgEDqkeVfo

I coded nodes for the bf16 HiDream-01 models and there are links to ggufs, the nodes load those as well in the workflows. The youtube video linked is a showcase for both models and the nodes i created. Check them out!

Youtube Showcase: https://youtu.be/oBQSdNoQtMw?si=gWZj_g6hH4PWpq4S

Dev Model (Distilled) Workflow:

https://civitai.com/models/2611889/rebels-hidream-01-image-dev

Base model workflow:

https://civitai.com/models/2612142/rebels-hidream-01-image

Node link if you just want to check those out, model installation is also in there too:

https://github.com/RealRebelAI/Rebels\_HiDream-01\_Image\_Dev\_NODES Youtube Showcase:

LongCat Image Edit has a Turbo model!

Quality is identical to the base model of longcat image edit. results have been impressive! as youll see from my examples, not only is adherence very good, but detail retainment is high and original composition is consistantly intact. job well done from the LongCat team!

youtube showcase:
https://youtu.be/Zb7PAoJ1Q1Q?si=tsQZmH6hDKocubD5

workflow with model files:
https://civitai.com/models/2493780/rebels-longcat-image-edit-turbo

Hey yall! Just wanted to share a new model with you guys that recently was gguf'd. Its a unified multimodal image model, capable of generating strong text renders and some good portrait shots from what i tested as well as editing images. I made a youtube video showcasing the model and i have a workflow for you guys.

The command prompt when testing shows it only allocates around 5gb of ram to my 8gb vram card so its not TOO heavy in weight (around 16gb for the Q6 gguf). It is intensive though and will slow down your system when running, at least for me. This is in partial due to the fact it NATIVELY generates at 2048x2048 framing, so essentially all resolutions are based around 2048 res. Generations were pretty good though.

There are 2 models:

Turbo - 8 steps

Base - 50 steps

Examples in the youtube video and workflow in the civitai link! 🫶

Heres a cat i generated with the Turbo model 😁

Youtube showcase:

https://youtu.be/SYJhzEdN1S0?si=2kRlRp1e7R4tT5bC

Workflow link:

https://civitai.com/models/2600986/rebels-sensenova-u1

I figured since the regular prompt relay workflow did so well, id bring in the first-last frame piece of the puzzle. I find FLF provides more control over generations while also providing a frame of reference for your next video to connect to (if necessary). I also added the now native video interpolation node to provide smoother motion to the output 🫡

I hope you guys get some use out of it! 🫶

Workflow link:

https://civitai.com/models/2473984/ltx-23-distilled-first-last-frame-gguf

Youtube showcase:

https://youtu.be/JbEIXBNgigM?si=3A9sje952P1DTj1d

8 months ago, i would run 10+ Wan 2.2 generations to get CLOSE to the desired motion output i was seeking. Though it was time consuming, it was a new, fresh, fun and exciting time to be an AI enthusiast. So many models have now come and gone since then that you almost become desensitized.

Then BOOM! LTX-2.3 drops and all the little goodies that have been graciously given to us by the community have brought the model to life and revitalized my enthusiasm for new models.

Now i can literally control every motion and aspect of my videos.

Weve come a long way in not only motion but multimodal models that can produce audio viable for content creation.

Truly a wild time to be alive!

Showcase with workflow link:

https://youtu.be/0sYbyZJ3y3Q

I noticed alot of issues with Ernie image and i decided to test run a few gens with a 2nd pass refinement of ZIT. Results were very good, subtle but worth the extra steps. (The comparison image shows Ernie image on the left and the 2nd pass Zimage result on the right)

1st pass Ernie image turbo is 8 steps. 2nd pass of zimageturbo was ran at 4 steps with a denoise of 0.35.

Youtube showcase: https://youtu.be/DunZUHCLe4Y

Workflow: https://civitai.com/models/2580703/rebels-eit-zit-refiner