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Poll

FUTURE FLUX CONTENT 🤩

  • 1 single big video 98
  • 2 separate small videos 285
  • 2024-08-16
  • 383 votes
{'title': 'FUTURE FLUX CONTENT 🤩', 'choices': [{'text': '1 single big video', 'votes': 98}, {'text': '2 separate small videos', 'votes': 285}], 'closes_at': None, 'created_at': datetime.datetime(2024, 8, 16, 12, 15, 35, tzinfo=datetime.timezone.utc), 'description': None, 'allows_multiple': True, 'total_votes': 383}

Content


Alright so help me out here. Flux has been out for 2 weeks now and THERE ARE SO MANY STUFF TO TALK ABOUT OMG I don't know where to begin... I'm kinda overwhelmed...We are eating so good right now!

So..... I can either make 1 huge video talking about everything like all best practices, what model to use for which GPU, all the different must have workflows, running it on Forge, ect

but it might be a little messy with all these different parts and links and installers and stuff inside 1 video.

Or I can separate it in 2 smaller videos to make it more bearable and easier to watch, it's up you, let me know what you prefer.

Comments

GomezBro

Bro make one adding NEGATIVE to any Workflow properly, I need to have negative STAT!

Charles Hopper

I believe splitting the content into two videos would be more effective, considering the short attention spans most people have today. For those like me who are interested in both aspects, the second video could provide more detailed information on optimizing for different systems. Offering the content in bite-sized chunks would likely increase overall view counts, as it caters to a wider audience by keeping the information concise and focused. Plus, I really enjoy your content; I want to see you continuing to be awesome and reach even more viewers lol

Peruvian Dota

brother we need the kohya tutorial!

cool1

If there's a good way to do Lora training for Flux, the JoyCaption Pre-Alpha demo online seems quite impressive at generating paragraph length captions for an image. So a local version of that that could be used for Flux might be good if each caption could be manually edited like you can in Kohya for other captions, and also give it Pre/Post captions. JoyCaption Pre Alpha online demo still produces errors though but it's still detailed and impressive, if it works okay for Flux (and doesn't produce too long text). I think they tried editing Kohya for Flux but it isn't released and someone said it wasn't giving good results yet. I saw code in it (pre-release?) for SD3 training too I think. Or if OneTrainer is better a video could be shown about that. There could be comparisons of doing training for SDXL vs Flux (a particular version of it) and how the results compare, and how the file sizes compare and time taken/cost.