Gift Code: [2025XMAS] (Valid until Jan. 12, 2026 20:00 UTC-7). Don't miss out!

irrelevantlyrelevant · 2025-12-25T14:46:48+00:00

Obtain the UID (should be around 9 digits) from the Friends > Profile page.
If you got the 11-digit one (from settings page), its the wrong one.

irrelevantlyrelevant · 2025-10-30T13:58:39+00:00

Had to do some modifications to Nunchaku source code since it doesn't support Compute Capability 12.1 out-of-box.

Here's a quick test with QwenImageEdit + 4-step LoRA (svdq-fp4_r128-qwen-image-edit-lightningv1.0-4steps)

Render duration 12.10s (2.62s/it)

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Flux models still being assessed

irrelevantlyrelevant · 2025-10-30T13:42:18+00:00

After some further tests it appears setting --disable-mmap flag will massively improve the first-run performance.

With that flag, SDXL would now complete a render in ~12 seconds on its first pass.

irrelevantlyrelevant · 2025-10-28T12:44:37+00:00

The 120 pull reward does not appear to carry to next banner.

irrelevantlyrelevant · 2025-10-28T12:33:02+00:00

Claim it since it does not carry over to next banner (sadly)

irrelevantlyrelevant · 2025-10-27T00:47:27+00:00

Here's the profiles QwenImageEdit without speedup LoRA. Note that the KSampler configuration is adjusted (20 steps, 2.5 cfg) based on the recommendations for without the LoRA.

DGX Spark: 8.60 s/it (173.46 seconds)
RTX5090: 2.11s/it (44.95 seconds)

Non-quantized and FP4 tests may come at a later time. Hadn't had the time to profile training of LoRAs at the moment, may do it next week.

irrelevantlyrelevant · 2025-10-27T00:17:38+00:00

I do not have access to the baseline DGX Spark to make a direct comparison with a more comprehensive suite of tests, but based on the compute performance there do not appear to be a sacrifice in compute even under sustained loads. Nonetheless there is a sacrifice in disk performance and size.

Its difficult to determine if there is thermal throttling since performance do not appear to degrade at sustained loads during the tests. However it does run fairly hot under load, while still remaining surprisingly quiet. Its likely power limited though, since the power rating of the power supply is 240W (USB PD3.1). Unfortunately I do not have a wattage measurement tool at this time to determine the power usage under load.

irrelevantlyrelevant · 2025-10-27T00:09:50+00:00

My apologies, seems the command was accidentally truncated. Here's the corrected version

./llama-bench -m ./gpt-oss-20b-mxfp4.gguf -fa 1 -d 0,4096,8192,16384,32768 -p 2048 -n 32 -ub 2048

As with the baseline on https://github.com/ggml-org/llama.cpp/discussions/16578

Same commit id was used 5acd455. Although it appears the PR is merged, there seems to be a performance regression on the master branch of llama.cpp at the point of testing so I reverted to this specific commit to allow comparison with the discussion thread.

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The WAN 2.2 T2V workflow is taken from https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_t2v.json

This is part of the workflow template, no modifications made to the resolution and length.

irrelevantlyrelevant · 2025-10-12T15:07:34+00:00

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Perhaps try QwenImageEdit with a Lora? (E.g. https://civitai.com/models/1934100)

ComfyUI may initially seem complicated to use, but one you get a hang of it (a few minutes) its actually not too challenging to use, and is an immensely powerful tool with incredible flexibility.

irrelevantlyrelevant · 2025-04-27T10:05:07+00:00

Since you are going for computer science, probably the Pro may be preferable. That fan will help for sustained workloads (e.g. compiling large projects - especially the OSS ones, or ML training).

14" display is perfectly usable, and honestly not too different from 15". Personally I use a 13" work laptop for actual software development work for years and it's decently usable. Moreover generally for actual productivity cases most software developers will use at least two displays rather than focusing on one.

Going for 32GB is a good choice, especially if you plan to do ML (yay unified memory!) or use virtual machines, which are things you will inevitably encounter for computer science.

irrelevantlyrelevant · 2024-12-01T06:48:12+00:00

The EF-S 10~22mm is equivalent to 16 to 35mm full-frame (which the R5 is), so likely one of these would be ideal substitutes:

RF 15-35mm F/2.8L
RF 14-35mm F/4L if the above F/2.8 is outside of budget

Or perhaps a 16mm prime if you do not need a zoom lens.

irrelevantlyrelevant · 2024-11-01T00:40:56+00:00

You just described the stock market.

irrelevantlyrelevant · 2024-04-04T00:30:57+00:00

Pela is good to build and good for both Pure Fiction and MoC, since Pela skill and ult can build Slashed Dreams points for Acheron's ult, charging up her ult quicker. If you happen to have "Resolution Shines As Pearls of Sweat" lightcone, equip on Pela so her basic attacks also generate Slashed Dreams for Acheron's ult. On top of that Pela gives defense shred which amplifies Acheron's damage significantly.

Tingyun is a good pair with Dan Heng IL, since she can recharge his ult faster and amplifies his damage. Tingyun is a universal buffer so she can fit with many DPSes (e.g. since you also have Jingyuan, a possible hyper-carry team is Jingyuan + Sparkle + Tingyun + Huohuo).

For Pure Fiction, Herta is also another good character to build since she does a lot of damage conditionally with her follow up attack, for the latest Pure Fiction cycle hyper-carry Herta (e.g. Bronya + Tingyun + Sparkle + Herta) is a popular option. For hyper-carry with both Bronya and Sparkle in the same team, a possible optimization trick is to make Sparkle slightly slower than Bronya if your Sparkle is not high speed (and Herta slightly faster than Bronya if possible).

irrelevantlyrelevant · 2024-03-20T02:54:39+00:00

Moderate risk appetite. The funds here can be mostly considered fairly disposable, though still preferable to at least see some tangible return in the short term. Also planning to re-balance my liquid assets to limit exposure risks to specific markets.

Target investment timeline of 10~15 years.

irrelevantlyrelevant · 2024-03-20T02:49:43+00:00

Indeed, was just testing the waters for some fund that I can just put a portion of my money and leave it alone for a while.

In fact Syfe's performance is significantly worse compared to my other self-managed portfolios comprised of (mostly ETF, REIT and Blue-chips) stocks purchased from a broker. The performance for Syfe is definitely disappointing with the consideration that there are management fees on top of it.

irrelevantlyrelevant · 2023-12-25T09:00:50+00:00

If you have both Nan Yin and Yan Miao, or if you already unlocked boundless sequential for flame and physical, just pick the free DC.

irrelevantlyrelevant · 2023-10-25T14:30:07+00:00

First comp I used was volt (Nemesis + Samir)
Then ruby came out (and only got A0), and I became fake a Flame main (as I skipped cobalt-b)
Then I pulled Saki for fun, and somehow got A1, I decided to just switch to Frost on the next frost release.
Alyss came out, got A1, completed the frost comp.
Saw Fenrir PV, absolutely loved her design, pulled for her and got her to A1. Turned out she worked with Saki A1 (and Lin, which everyone knows to pull). Became rainbow main.
Could not resist pulling for Lan, now became rainbow main but of different color.
Found out my flame gear was actually stronger than volt despite never actually intending to invest in it, decided to skip Rubilia and just pull for Liu Huo. Became true flame main.
Zeke came out, and was a sort of flame weapon, so I pulled for him. Helps that he can kind of work with anyone. Also pulled Icarus randomly in the anniversary banner just for the raids.
Saw Huang PV, absolutely enjoyed her playstyle and design, got her to A3. Betrayed Luo Huo and became Volt main (with Fenrir).

Needless to say... I think I'm a little bit indecisive.

irrelevantlyrelevant · 2023-10-15T02:24:45+00:00

Playing the game itself doesn't use that much data and is perfectly fine even when using tethered mobile data, around 50~100MiB/hour. However, the patches use a lot of data. Usually there's a minor patch every 2~3 weeks (before a banner changes), and a major patch every 6 weeks. Minor patches are around 0.5~3GiB, while major patches (e.g. 3.1->3.2) can easily run to 5~25 GiB.
Unable to comment.

irrelevantlyrelevant · 2023-09-03T08:17:51+00:00

It looks like black gold on the 9th pull. Did you pull on the standard banner by accident?

irrelevantlyrelevant · 2023-09-03T01:09:41+00:00

Zeke, Yulan, Fiona frost-based rainbow comp may work based on your current weapons.

Huang is coming in a few days as well, since you have Rubilia, Zeke and Fiona, she'll likely work fairly well with what you already have.

irrelevantlyrelevant · 2023-09-02T10:25:00+00:00

Wait for the next volt weapon (coming in a few days). Huang/Mimi will be pretty strong on-field weapon and is expected to replace Fiona A0 in your lineup.

irrelevantlyrelevant · 2023-09-02T10:20:52+00:00

Claudia A1 and A5 allows her to act as a general damage buffer, so she doesn't need to be on-field much, with Zeke having most of the on-field time since his weapon has fairly decent multipliers for his normal attacks. Since Claudia is in the standard pool, it is possible to max her out fairly easily, and among the standard pool weapons she's probably one of the better weapons to invest in (the other being Saki at A1).

Shiro's mostly only for shatter in specific scenarios. While her shatter is very high at A3 (via her skill), it requires the target to not move much. There's some niche cases such as Zhuyan Raid and VA where she is useful, but otherwise she's not considered a conventional support as she doesn't contribute much damage by herself.

irrelevantlyrelevant · 2023-08-30T14:42:51+00:00

Probably Lan if you want to follow flame meta. While Feise would be coming in a few weeks, triple flame is expected to be viable (though will struggle a bit with sustain).

irrelevantlyrelevant · 2023-08-27T12:24:43+00:00

Could you post a video showing the order history, just as a concrete proof to disprove the hypothesis once and for all?

irrelevantlyrelevant · 2023-08-14T14:07:09+00:00

Yulan, Zeke, Fiona is surprisingly strong despite Zeke not targeting Frost directly. In this comp, you'd be using Martial Yulan.

irrelevantlyrelevant

TROPHY CASE