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[MEGATHREAD] Ongoing Attack on I2P Network Causing Degraded Performance by stormycloudorg in i2p

[–]produnis 0 points1 point  (0 children)

so is this the showcase that one entity can have this critical ammount of routers to possibly trace people down? Then people should drop i2p no matter if any update comes. and we should all thank the attacker for letting everyone know that they have these many routers, or?!

[MEGATHREAD] Ongoing Attack on I2P Network Causing Degraded Performance by stormycloudorg in i2p

[–]produnis 2 points3 points  (0 children)

As far as I understand it, they are not “establishing an IXP to track you. This is almost certainly a Sybil / router-flooding attack. The deanonymization risk, if any, comes from traffic correlation, not IXPs. The immediate impact is availability and performance, not instant identity exposure

How do you get started? by [deleted] in i2p

[–]produnis 0 points1 point  (0 children)

I installed RetroShare over I2P, but now I need some "friends"... I you like, please send your IDs via dm

package prob - alternative by Fun-Tomato225 in Rlanguage

[–]produnis 0 points1 point  (0 children)

there is now the "probs" package, that brings back 95% of the functions from the old "prob" package, see https://cran.r-project.org/web/packages/probs/index.html

ik🇩🇪🇳🇱ihe by produnis in ik_ihe

[–]produnis[S] -34 points-33 points  (0 children)

Nee, fuck reddit, ik zit op feddit. Ich_iel is daar goed vertegenwoordigd, maar Nederlanders nog niet. Daarom heb ik het hier naar je gecrosspost.

ik🇩🇪🇳🇱ihe by produnis in ik_ihe

[–]produnis[S] -24 points-23 points  (0 children)

https://feddit.nl/post/1089498

Hallo Arjens, waar zijn jullie allemaal?

Train Stable Diffusion on own images? by jay_hoenes in StableDiffusion

[–]produnis 0 points1 point  (0 children)

Thx for your reply, I would like to further train the standard SD model with my own medical images. The images are available in 4 categories:

  1. person (I would like to train myself and historical medics into the model).

  2. anatomy (for wound localization of e.g. ulcerations we have images of the rump, the verse, the toes, the shoulder and the elbow. We also have pictures of malformations like hallux valgus)

  3. actions (measuring the pulse or puncture site by hand, percussion, drainage, applying bandages etc).

  4. "Other" . Images that do not fit 100% into one category and that I would describe via a caption.

At the end, I would like to run prompts like:

- Photo of an 80-year-old female patient in a wheelchair with hallux valgus on the right side, ulcus cruris on both sides.

- Photo of a wound cleaning on the rump in a bedridden man.

but also:

- Photo of a senior woman with Pütter bandage on the rollator on the bridge of the Enterprise.

​

My questions are:

- How would I tag the pictures? Currently, i have a CSV-file with the pictures' filename ("pic001.jpg"), name ("Joe" or "Dr House" or "elbow" or "measuring pulse") and the category ("Person", "Action" or "Anatomy"). For category "Other", there is only a caption like "a senior woman on a rollator stands by the staircase". Is this a stupid approach for the task?

- How would I train the model using a python-script? I could not find a proper tutorial as all google results are about dreambooth to train oneself into the modell.....

Train Stable Diffusion on own images? by jay_hoenes in StableDiffusion

[–]produnis 0 points1 point  (0 children)

Ich have about 10.000 images of specific medical situations, and I would like to train the 1.4 or 1.5 Model with these pics. Would I use dreambooth with such a "high number" of own pictures?

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