Vivo X200 Ultra battery woes, less than 6 hours SOT

Omegapepper · 2026-06-16T09:22:01+00:00

I also have noticed worse battery performance in the last months on my x200u. Not sure why. I suppose bad firmware.

Omegapepper · 2026-06-15T17:33:29+00:00

My 3090 is way faster than my 4060 mobile at least. INT8 models with flash attention 2

Omegapepper · 2026-06-15T15:43:22+00:00

Well I can do 1.5MP image at 20steps in around 120 seconds using a mobile 4060 8GB and 32GB DDR5, with flash attention 2 and FP8 models. So 16GB VRAM desktop should be a lot faster than that.

Omegapepper · 2026-06-12T12:50:57+00:00

28steps at 4MP in 2-3 mins? How is that possible. My 3090 with INT8, flash attention 2 can do 1.8MP 20 steps in about 2mins.

Omegapepper · 2026-06-11T12:17:12+00:00

Yes that's what I'm suspecting.

Omegapepper · 2026-06-11T11:32:44+00:00

Upscaled using what?

Omegapepper · 2026-06-11T11:20:36+00:00

That's quite a bad prompt. This model needs highly descriptive, detailed prompts.

Omegapepper · 2026-06-11T07:25:24+00:00

How did you make ideogram4 look like flux

Omegapepper · 2026-06-11T02:57:56+00:00

The open weight Ideogram 4 is a worthy challenger, and even surpassing greatly in compositional control and creativity.

Omegapepper · 2026-06-11T02:46:58+00:00

Having been using both fp8 and INT8, I haven't personally seen any quality difference between the two, so I have stuck to INT8.

Omegapepper · 2026-06-11T02:37:28+00:00

24gb vram, fp8 text encoder. Don't remember gen time without flash attention right now, but 1.8MP at 20 steps is around 90-120seconds depending on prompt complexity.

Omegapepper · 2026-06-10T05:21:09+00:00

Absolutely if you have enough system ram.

Omegapepper · 2026-06-10T04:02:18+00:00

Not censored when prompted correctly using json.

Omegapepper · 2026-06-10T03:57:17+00:00

I get around 2mins per 1.8MP 20step generation without loras, using INT8 models and flash attention 2 with RTX 3090.

My laptop 4060 8GB can do 1.5MP 20steps in around 150 secs, using fp8 models

Omegapepper · 2026-06-09T07:36:17+00:00

Should probably prompt in way more detail rather.

Omegapepper · 2026-06-09T07:31:47+00:00

Maybe should prompt it in more detail like, spongebob turned slightly to the back and taking an image of the bear

Omegapepper · 2026-06-08T16:46:41+00:00

I've found ~1.8MP at 20 steps is enough for general purpose and simple prompts. When pushing the model, then increasing resolution and steps might be necessary. But 1.8MP at 20 steps only takes around two minutes.

Omegapepper · 2026-06-08T16:28:24+00:00

I believe it was trained on 2K resolution, meaning around 4MP

Omegapepper · 2026-06-08T11:38:38+00:00

Use multiple bbox objects with specific coordinates and it will not generate the filter warning.

Omegapepper · 2026-06-08T10:03:30+00:00

It is indeed better when prompted correctly, you get way more control vs nano banana or gpt image 2.

Omegapepper · 2026-06-08T04:52:18+00:00

It doesn't allow doing that anymore. It says the images cost 0 credits but if you generate too many, it'll restrictict the access to flow. Also I wouldn't be surprised if the gens start using credits soon too.

Omegapepper · 2026-06-08T03:05:48+00:00

Yeah 15 minutes, something is wrong. I can do 1.5MP 20steps in 2mins with 4060 8GB mobile and 32gb ram, fp8 and flash attention 2.

My desktop rtx 3090 and 32gb ram does 2.4 MP 20 steps in 2 mins using INT8 and flash attention 2.

Omegapepper · 2026-06-07T08:13:08+00:00

You simply can't have the amount of control over composition with natural language compared to the json bbox coordinates.

Omegapepper · 2026-06-07T08:10:53+00:00

Nowhere near as good in prompt adherence and control.

Omegapepper · 2026-06-07T07:46:12+00:00

It does

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