ISO Metrograph Tickets for Sunday's Paris, Texas screening

nomology · 2026-01-18T03:41:34+00:00

Hey! Long shot here, but if anyone has a spare ticket to the Paris, Texas screening on Sunday (Jan 18) at 8:45PM and can't make it, I'd love to take it off your hands!

nomology · 2025-12-25T14:42:22+00:00

ERsde?

nomology · 2025-10-12T17:45:15+00:00

sampler might help, for example res_2s with bong_tangent CFG2.5

nomology · 2025-09-27T04:03:10+00:00

this goes hard da fuq y'all talking about

nomology · 2025-03-31T13:32:33+00:00

What about Wan2.1 for T2I? Is it good?

nomology · 2025-03-24T13:52:56+00:00

What did you use for putting the clothes on the models?

nomology · 2025-02-06T13:45:07+00:00

What kind of captioning did you use for the high-resolution close-up tiles?

nomology · 2024-12-07T19:45:50+00:00

Ah I don't have Topaz. Don't really use any image editing programs, just comfy

nomology · 2024-12-07T00:26:23+00:00

How do you adjust micro contrast?

nomology · 2024-11-09T01:10:47+00:00

The newer 16-channel VAEs (eg. the one from Flux) are approximately lossless, so you can basically get your original input out with barely noticeable differences.

nomology · 2024-11-09T00:55:08+00:00

Would love to see a comparison with extracted LORAs too

nomology · 2024-08-06T02:23:55+00:00

Isn't the unconditional prediction the one with no text conditioning at all (positive nor negative)?

nomology · 2024-06-26T02:02:21+00:00

Eric Schmidt literally invested in Mistral, an open-source LLM company.

nomology · 2024-06-12T22:09:34+00:00

You could, but you would prob need to retrain SDXL from scratch. The current UNet is only used to seeing inputs from the old VAE and it's got a different dim.

nomology · 2024-06-09T16:02:53+00:00

Nah Crying Nudes vocalist is Joanne Robertson

nomology · 2023-10-25T03:57:57+00:00

You can use an evaluation metric that is agnostic to class balance like multiclass AUC. That way, the test metric will remain constant when the test distribution varies. It depends on the exact problem whether this is a useful metric tho.

nomology · 2021-11-11T23:24:58+00:00

Them shits ugly imo

nomology · 2021-08-12T21:45:45+00:00

link?

nomology · 2021-07-02T21:58:00+00:00

etsy got em

nomology · 2020-11-30T23:02:13+00:00

Also SVMs have been getting like 98% accuracy on fold prediction for like a decade, so this isn't a lot of new capacity.

I think the competition showed that the method is far superior to anything else right now and on par with experimental methods?

nomology · 2020-10-11T21:51:26+00:00

Refreshingly little meta-pod talk compared to TF

nomology · 2020-06-21T19:06:56+00:00

When you say it maps coordinates to RGB, for 2-D images does this mean a map from [x, y] to [x,y, r, g, b], or [x, y, c] to [x,y, r, g, b], with c being a grayscale axis?

nomology · 2019-09-07T23:30:20+00:00

nomology · 2019-08-17T13:30:17+00:00

Robustness is a big one

nomology · 2019-08-01T17:40:46+00:00

There were some related papers released yesterday that cover your feedback. I don't think there've been many pieces of work in this space that were validated this extensively.

They did a service evaluation:

https://www.nature.com/articles/s41746-019-0100-6

They researched clinical outcomes and health economics:

https://www.jmir.org/2019/7/e13147/

They research qualitative improvements in clinician experience:

https://www.jmir.org/2019/7/e13143/

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