Christopher Janz of Point Nine Capital created the SaaS napkin in 2016. This post shows how founders have raised cash in the last 6 years. View raw data.

Round size

Unsurprisingly, round sizes have expanded and will taper down in 2022. In 2016, pre-seed rounds were $200k to $500k; currently, they're $1-$2m. Despite the macroeconomic scenario, Series A have expanded from $3m to $12m in 2016 to $6m and $18m in 2022.

Valuation

There are hints that valuations are rebounding this year. Pre-seed valuations in 2022 are $12m from $3m in 2016, and Series B prices are $270m from $100m in 2016.

Compared to public SaaS multiples, Series B valuations more closely reflect the market, but Seed and Series A prices seem to be inflated regardless of the market.

I'd like to know how each annual cohort performed for investors, based on the year they invested and the valuations. I can't access this information.

ARR

Seed firms' ARR forecasts have risen from $0 to $0.6m to $0 to $1m. 2016 expected $1.2m to $3m, 2021 $0.5m to $4m, and this year $0.5m to $2.5m, suggesting that Series A firms may raise with less ARR today. Series B minutes fell from $4.2m to $3m.

Capitalization Rate

2022 is the year that VCs start discussing capital efficiency in portfolio meetings. Given the economic shift in the markets and the stealthy VC meltdown, it's not surprising. Christopher Janz added capital efficiency to the SaaS Napkin as a new statistic for Series A (3.5x) and Series B. (2.5x). Your investors must live under a rock if they haven't asked about capital efficiency. If you're unsure:

The Capital Efficiency Ratio is the ratio of how much a company has spent growing revenue and how much they’re receiving in return. It is the broadest measure of company effectiveness in generating ARR

What next?

No one knows what's next, including me. All startup and growing enterprises around me are tightening their belts and extending their runways in anticipation of a difficult fundraising ride. If you're wanting to raise money but can wait, wait till the market is more stable and access to money is easier.

His success was unforeseeable.

2014 saw Facebook's $2.3 billion purchase of Oculus VR.

19-year-old Palmer Luckey founded Oculus. He quit journalism school. His parents worried about his college dropout.

Facebook bought Oculus VR in less than 2 years.

Palmer Luckey started Anduril Industries. Palmer has raised $385 million with Anduril.

The Oculus journey began in a trailer

Palmer Luckey, 19, owned the trailer.

Luckey had his trailer customized. The trailer had all six of Luckey's screens. In the trailer's remaining area, Luckey conducted hardware tests.

At 16, he became obsessed with virtual reality. Virtual reality was rare at the time.

Luckey didn't know about VR when he started.

Previously, he liked "portabilizing" mods. Hacking ancient game consoles into handhelds.

In his city, fewer portabilizers actively traded.

Luckey started "ModRetro" for other portabilizers. Luckey was exposed to VR headsets online.

Luckey:

“Man, ModRetro days were the best.”

Palmer Luckey used VR headsets for three years. His design had 50 prototypes.

Luckey used to work at the Long Beach Sailing Center for minimum salary, servicing diesel engines and cleaning boats.

Luckey worked in a USC Institute for Creative Technologies mixed reality lab in July 2011. (ICT).

Luckey cleaned the lab, did reports, and helped other students with VR projects.

Luckey's lab job was dull.

Luckey chose to work in the lab because he wanted to engage with like-minded folks.

By 2012, Luckey had a prototype he hoped to share globally. He made cheaper headsets than others.

Luckey wanted to sell an easy-to-assemble virtual reality kit on Kickstarter.

He realized he needed a corporation to do these sales legally. He started looking for names. "Virtuality," "virtual," and "VR" are all taken.

Hence, Oculus.

If Luckey sold a hundred prototypes, he would be thrilled since it would boost his future possibilities.

John Carmack, legendary game designer

Carmack has liked sci-fi and fantasy since infancy.

Carmack loved imagining intricate gaming worlds.

His interest in programming and computer science grew with age.

He liked graphics. He liked how mismatching 0 and 1 might create new colors and visuals.

Carmack played computer games as a teen. He created Shadowforge in high school.

He founded Id software in 1991. When Carmack created id software, console games were the best-sellers.

Old computer games have weak graphics. John Carmack and id software developed "adaptive tile refresh."

This technique smoothed PC game scrolling. id software launched 3-D, Quake, and Doom using "adaptive tile refresh."

These games made John Carmack a gaming star. Later, he sold Id software to ZeniMax Media.

How Palmer Luckey met Carmack

In 2011, Carmack was thinking a lot about 3-D space and virtual reality.

He was underwhelmed by the greatest HMD on the market. Because of their flimsiness and latency.

His disappointment was partly due to the view (FOV). Best HMD had 40-degree field of view.

Poor. The best VR headset is useless with a 40-degree FOV.

Carmack intended to show the press Doom 3 in VR. He explored VR headsets and internet groups for this reason.

Carmack identified a VR enthusiast in the comments section of "LEEP on the Cheap." "PalmerTech" was the name.

Carmack approached PalmerTech about his prototype. He told Luckey about his VR demos, so he wanted to see his prototype.

Carmack got a Rift prototype. Here's his May 17 tweet.

John Carmack tweeted an evaluation of the Luckey prototype.

Dan Newell, a Valve engineer, and Mick Hocking, a Sony senior director, pre-ordered Oculus Rift prototypes with Carmack's help.

Everyone praised Luckey after Carmack demoed Rift.

Palmer Luckey received a job offer from Sony.

• It was a full-time position at Sony Computer Europe.

• He would run Sony’s R&D lab.

• The salary would be $70k.

Who is Brendan Iribe?

Brendan Iribe started early with Startups. In 2004, he and Mike Antonov founded Scaleform.

Scaleform created high-performance middleware. This package allows 3D Flash games.

In 2011, Iribe sold Scaleform to Autodesk for $36 million.

How Brendan Iribe discovered Palmer Luckey.

Brendan Iribe's friend Laurent Scallie.

Laurent told Iribe about a potential opportunity.

Laurent promised Iribe VR will work this time. Laurent introduced Iribe to Luckey.

Iribe was doubtful after hearing Laurent's statements. He doubted Laurent's VR claims.

But since Laurent took the name John Carmack, Iribe thought he should look at Luckey Innovation. Iribe was hooked on virtual reality after reading Palmer Luckey stories.

He asked Scallie about Palmer Luckey.

Iribe convinced Luckey to start Oculus with him

First meeting between Palmer Luckey and Iribe.

The Iribe team wanted Luckey to feel comfortable.

Iribe sought to convince Luckey that launching a company was easy. Iribe told Luckey anyone could start a business.

Luckey told Iribe's staff he was homeschooled from childhood. Luckey took self-study courses.

Luckey had planned to launch a Kickstarter campaign and sell kits for his prototype. Many companies offered him jobs, nevertheless.

He's considering Sony's offer.

Iribe advised Luckey to stay independent and not join a firm. Iribe asked Luckey how he could raise his child better. No one sees your baby like you do?

Iribe's team pushed Luckey to stay independent and establish a software ecosystem around his device.

After conversing with Iribe, Luckey rejected every job offer and merger option.

Iribe convinced Luckey to provide an SDK for Oculus developers.

After a few months. Brendan Iribe co-founded Oculus with Palmer Luckey. Luckey trusted Iribe and his crew, so he started a corporation with him.

Crowdfunding

Brendan Iribe and Palmer Luckey launched a Kickstarter.

Gabe Newell endorsed Palmer's Kickstarter video.

Gabe Newell wants folks to trust Palmer Luckey since he's doing something fascinating and answering tough questions.

Mark Bolas and David Helgason backed Palmer Luckey's VR Kickstarter video.

Luckey introduced Oculus Rift during the Kickstarter campaign. He introduced virtual reality during press conferences.

Oculus' Kickstarter effort was a success. Palmer Luckey felt he could raise $250,000.

Oculus raised $2.4 million through Kickstarter. Palmer Luckey's virtual reality vision was well-received.

Mark Zuckerberg's Oculus discovery

Brendan Iribe and Palmer Luckey hired the right personnel after a successful Kickstarter campaign.

Oculus needs a lot of money for engineers and hardware. They needed investors' money.

Series A raised $16M.

Next, Andreessen Horowitz partner Brain Cho approached Iribe.

Cho told Iribe that Andreessen Horowitz could invest in Oculus Series B if the company solved motion sickness.

Mark Andreessen was Iribe's dream client.

Marc Andreessen and his partners gave Oculus $75 million.

Andreessen introduced Iribe to Zukerberg. Iribe and Zukerberg discussed the future of games and virtual reality by phone.

Facebook's Oculus demo

Iribe showed Zuckerberg Oculus.

Mark was hooked after using Oculus. The headset impressed him.

The whole Facebook crew who saw the demo said only one thing.

“Holy Crap!”

This surprised them all.

Mark Zuckerberg was impressed by the team's response. Mark Zuckerberg met the Oculus team five days after the demo.

First meeting Palmer Luckey.

Palmer Luckey is one of Mark's biggest supporters and loves Facebook.

Oculus Acquisition

Zuckerberg wanted Oculus.

Brendan Iribe had requested for $4 billion, but Mark wasn't interested.

Facebook bought Oculus for $2.3 billion after months of drama.

After selling his company, how does Palmer view money?

Palmer loves the freedom money gives him. Money frees him from small worries.

Money has allowed him to pursue things he wouldn't have otherwise.

“If I didn’t have money I wouldn’t have a collection of vintage military vehicles…You can have nice hobbies that keep you relaxed when you have money.”

He didn't start Oculus to generate money. His virtual reality passion spanned years.

He didn't have to lie about how virtual reality will transform everything until he needed funding.

The company's success was an unexpected bonus. He was merely passionate about a good cause.

After Oculus' $2.3 billion exit, what changed?

Palmer didn't mind being rich. He did similar things.

After Facebook bought Oculus, he moved to Silicon Valley and lived in a 12-person shared house due to high rents.

Palmer might have afforded a big mansion, but he prefers stability and doing things because he wants to, not because he has to.

“Taco Bell is never tasted so good as when you know you could afford to never eat taco bell again.”

Palmer's leadership shifted.

Palmer changed his leadership after selling Oculus.

When he launched his second company, he couldn't work on his passions.

“When you start a tech company you do it because you want to work on a technology, that is why you are interested in that space in the first place. As the company has grown, he has realized that if he is still doing optical design in the company it’s because he is being negligent about the hiring process.”

Once his startup grows, the founder's responsibilities shift. He must recruit better firm managers.

Recruiting talented people becomes the top priority. The founder must convince others of their influence.

A book that helped me write this:

The History of the Future: Oculus, Facebook, and the Revolution That Swept Virtual Reality — Blake Harris

*This post is a summary. Read the full article here.

TOP APPS

Who survives spring cleaning?

Relax. Notion is off-limits. This topic is popular.

(I wrote about it 2 years ago, before everyone else did.) So).

These apps are probably new to you. I hope you find a new phone app after reading this.

Outdooractive

ViewRanger is Google Maps for outdoor enthusiasts.

This app has been so important to me as a freedom-loving long-distance walker and hiker.

This app shows nearby trails and right-of-ways on top of an Open Street Map.

Helpful detail and data. Any route's distance,

You can download and follow tons of routes planned by app users.

This has helped me find new routes and places a fellow explorer has tried.

Free with non-intrusive ads. Years passed before I subscribed. Pro costs £2.23/month.

This app is for outdoor lovers.

Google Files

New phones come with bloatware. These rushed apps are frustrating.

We must replace these apps. 2017 was Google's year.

Files is a file manager. It's quick, innovative, and clean. They've given people what they want.

It's easy to organize files, clear space, and clear cache.

I recommend Gallery by Google as a gallery app alternative. It's quick and easy.

Trainline

App for trains, buses, and coaches.

I've used this app for years. It did the basics well when I first used it.

Since then, it's improved. It's constantly adding features to make traveling easier and less stressful.

Split-ticketing helps me save hundreds a year on train fares. This app is only available in the UK and Europe.

This service doesn't link to a third-party site. Their app handles everything.

Not all train and coach companies use this app. All the big names are there, though.

Here's more on the app.

Battlefield: Mobile

Play Store has 478,000 games. Few can turn my phone into a console.

Call of Duty Mobile and Asphalt 8/9 are examples.

Asphalt's loot boxes and ads make it unplayable. Call of Duty opens with a few ads. Close them to play without hassle.

This game uses all your phone's features to provide a high-quality, seamless experience. If my internet connection is good, I never experience lag or glitches.

The gameplay is energizing and intense, just like on consoles. Sometimes I'm too involved. I've thrown my phone in anger. I'm totally absorbed.

Customizability is my favorite. Since phones have limited screen space, we should only have the buttons we need, placed conveniently.

Size, opacity, and position are modifiable. Adjust audio, graphics, and textures. It's customizable.

This game has been on my phone for three years. It began well and has gotten better. When I think the creators can't do more, they do.

If you play, read my tips for winning a Battle Royale.

Lightroom

As a photographer, I believe your best camera is on you. The phone.

2017 was a big year for this app. I've tried many photo-editing apps since then. This always wins.

The app is dull. I've never seen better photo editing on a phone.

Adjusting settings and sliders doesn't damage or compress photos. It's detailed.

This is important for phone photos, which are lower quality than professional ones.

Some tools are behind a £4.49/month paywall. Adobe must charge a subscription fee instead of selling licenses. (I'm still bitter about Creative Cloud's price)

Snapseed is my pick. Lightroom is where I do basic editing before moving to Snapseed. Snapseed review:

These apps are great. They cover basic and complex editing needs while traveling.

Final Reflections

I hope you downloaded one of these. Share your favorite apps. These apps are scarce.

or, how I spread monkeypox and got it myself.

This story contains nsfw (not safe for wife) stuff and shouldn't be read if you're under 18 or think I'm a newborn angel. After the opening, it's broken into three sections: a chronological explanation of my disease course, my ideas, and what I plan to do next.

Your journey awaits.

As early as mid-may, I was waltzing around the lab talking about monkeypox, a rare tropical disease with an inaccurate name. Monkeys are not its primary animal reservoir. It caused an outbreak among men who have sex with men across Europe, with unprecedented levels of person-to-person transmission. European health authorities speculated that the virus spread at raves and parties and was easily transferred through intimate, mainly sexual, contact. I had already read the nejm article about the first confirmed monkeypox patient in the u.s. and shared the photos on social media so people knew what to look for. The cdc information page only included 4 photographs of monkeypox lesions that looked like they were captured on a motorola razr.

I warned my ex-boyfriend about monkeypox. Monkeypox? responded.

Mom, I'm afraid about monkeypox. What's monkeypox?

My therapist is scared about monkeypox. What's monkeypox?

Was I alone? A few science gays on Twitter didn't make me feel overreacting.

This information got my gay head turning. The incubation period for the sickness is weeks. Many of my social media contacts are traveling to Europe this summer. What is pride? Travel, parties, and sex. Many people may become infected before attending these activities. Monkeypox will affect the lgbtq+ community.

Being right always stinks. My young scientist brain was right, though. Someone who saw this coming is one of the early victims. I'll talk about my feelings publicly, and trust me, I have many concerning what's occurring.

Part 1 is the specifics.

Wednesday nights are never smart but always entertaining. I didn't wake up until noon on june 23 and saw gay twitter blazing. Without warning, the nyc department of health announced a pop-up monkeypox immunization station in chelsea. Some days would be 11am-7pm. Walk-ins were welcome, however appointments were preferred. I tried to arrange an appointment after rubbing my eyes, but they were all taken. I got out of bed, washed my face, brushed my teeth, and put on short shorts because I wanted to get a walk-in dose and show off my legs. I got a 20-oz. cold brew on the way to the train and texted a chelsea-based acquaintance for help.

Clinic closed at 2pm. No more doses. Hundreds queued up. The government initially gave them only 1,000 dosages. For a city with 500,000 LGBT people, c'mon. What more could I do? I was upset by how things were handled. The evidence speaks for itself.

I decided to seek an appointment when additional doses were available and continued my weekend. I was celebrating nyc pride with pals. Fun! sex! * ‍

On tuesday after that, I felt a little burn. This wasn't surprising because I'd been sexually active throughout the weekend, so I got a sti panel the next day. I expected to get results in a few days, take antibiotics, and move on.

Emerging germs had other intentions. Wednesday night, I felt sore, and thursday morning, I had a blazing temperature and had sweat through my bedding. I had fever, chills, and body-wide aches and pains for three days. I reached 102 degrees. I believed I had covid over pride weekend, but I tested negative for three days straight.

STDs don't induce fevers or other systemic symptoms. If lymphogranuloma venereum advances, it can cause flu-like symptoms and swollen lymph nodes. I was suspicious and desperate for answers, so I researched monkeypox on the cdc website (for healthcare professionals). Much of what I saw on screen about monkeypox prodrome matched my symptoms. Multiple-day fever, headache, muscle aches, chills, tiredness, enlarged lymph nodes. Pox were lacking.

I told my doctor my concerns pre-medically. I'm occasionally annoying.

On saturday night, my fever broke and I felt better. Still burning, I was optimistic till sunday, when I woke up with five red splotches on my arms and fingertips.

As spots formed, burning became pain. I observed as spots developed on my body throughout the day. I had more than a dozen by the end of the day, and the early spots were pustular. I had monkeypox, as feared.

Fourth of July weekend limited my options. I'm well-connected in my school's infectious disease academic community, so I texted a coworker for advice. He agreed it was likely monkeypox and scheduled me for testing on tuesday.

nyc health could only perform 10 monkeypox tests every day. Before doctors could take swabs and send them in, each test had to be approved by the department. Some commercial labs can now perform monkeypox testing, but the backlog is huge. I still don't have a positive orthopoxvirus test five days after my test. *My 12-day-old case may not be included in the official monkeypox tally. This outbreak is far wider than we first thought, therefore I'm attempting to spread the information and help contain it.

*Update, 7/11: I have orthopoxvirus.

I spent all day in the bathtub because of the agony. Warm lavender epsom salts helped me feel better. I can't stand lavender anymore. I brought my laptop into the bathroom and viewed everything everywhere at once (2022). If my ex and I hadn't recently broken up, I wouldn't have monkeypox. All of these things made me cry, and I sat in the bathtub on the 4th of July sobbing. I thought, Is this it? I felt like Bridesmaids' Kristen Wiig (2011). I'm a flop. From here, things can only improve.

Later that night, I wore a mask and went to my roof to see the fireworks. Even though I don't like fireworks, there was something wonderful about them this year: the colors, how they illuminated the black surfaces around me, and their transient beauty. Joyful moments rarely linger long in our life. We must enjoy them now.

Several roofs away, my neighbors gathered. Happy 4th! I heard a woman yell. Why is this godforsaken country so happy? Instead of being rude, I replied. I didn't tell them I had monkeypox. I thought that would kill the mood.

By the time I went to the hospital the next day to get my lesions swabbed, wearing long sleeves, pants, and a mask, they looked like this:

I had 30 lesions on my arms, hands, stomach, back, legs, buttcheeks, face, scalp, and right eyebrow. I had some in my mouth, gums, and throat. Current medical thought is that lesions on mucous membranes cause discomfort in sensitive places. Internal lesions are a new feature of this outbreak of monkeypox. Despite being unattractive, the other sores weren't unpleasant or bothersome.

I had a bacterial sti with the pox. Who knows if that would've created symptoms (often it doesn't), but different infections can happen at once. My care team remembered that having a sti doesn't exclude out monkeypox. doxycycline rocks!

The coworker who introduced me to testing also offered me his home. We share a restroom, and monkeypox can be spread through surfaces. (Being a dna virus gives it environmental hardiness that rna viruses like sars-cov-2 lack.) I disinfected our bathroom after every usage, but I was apprehensive. My friend's place has a guest room and second bathroom, so no cross-contamination. It was the ideal monkeypox isolation environment, so I accepted his offer and am writing this piece there. I don't know what I would have done without his hospitality and attention.

The next day, I started tecovirimat, or tpoxx, for 14 days. Smallpox has been eradicated worldwide since the 1980s but remains a bioterrorism concern. Tecovirimat has a unique, orthopoxvirus-specific method of action, which reduces side effects to headache and nausea. It hasn't been used in many people, therefore the cdc is encouraging patients who take it for monkeypox to track their disease and symptoms.

Tpoxx's oral absorption requires a fatty meal. The hospital ordered me to take the medication after a 600-calorie, 25-gram-fat meal every 12 hours. The coordinator joked, "Don't diet for the next two weeks." I wanted to get peanut butter delivered, but jif is recalling their supply due to salmonella. Please give pathogens a break. I got almond butter.

Tpoxx study enrollment was documented. After signing consent documents, my lesions were photographed and measured during a complete physical exam. I got bloodwork to assess my health. My medication delivery was precise; every step must be accounted for. I got a two-week supply and started taking it that night. I rewarded myself with McDonald's. I'd been hungry for a week. I was also prescribed ketorolac (aka toradol), a stronger ibuprofen, for my discomfort.

I thought tpoxx was a wonder medicine by day two of treatment. Early lesions looked like this.

however, They vanished. The three largest lesions on my back flattened and practically disappeared into my skin. Some pustular lesions were diminishing. Tpoxx+toradol has helped me sleep, focus, and feel human again. I'm down to twice-daily baths and feeling hungrier than ever in this illness. On day five of tpoxx, some of the lesions look like this:

I have a ways to go. We must believe I'll be contagious until the last of my patches scabs over, falls off, and sprouts new skin. There's no way to tell. After a week and a half of tremendous pain and psychological stress, any news is good news. I'm grateful for my slow but steady development.

Part 2 of the rant.

Being close to yet not in the medical world is interesting. It lets me know a lot about it without being persuaded by my involvement. Doctors identify and treat patients using a tool called differential diagnosis.

A doctor interviews a patient to learn about them and their symptoms. More is better. Doctors may ask, "Have you traveled recently?" sex life? Have pets? preferred streaming service? (No, really. (Hbomax is right.) After the inquisition, the doctor will complete a body exam ranging from looking in your eyes, ears, and throat to a thorough physical.

After collecting data, the doctor makes a mental (or physical) inventory of all the conceivable illnesses that could cause or explain the patient's symptoms. Differential diagnosis list. After establishing the differential, the clinician can eliminate options. The doctor will usually conduct nucleic acid tests on swab samples or bloodwork to learn more. This helps eliminate conditions from the differential or boosts a condition's likelihood. In an ideal circumstance, the doctor can eliminate all but one reason of your symptoms, leaving your formal diagnosis. Once diagnosed, treatment can begin. yay! Love medicine.

My symptoms two weeks ago did not suggest monkeypox. Fever, pains, weariness, and swollen lymph nodes are caused by several things. My scandalous symptoms weren't linked to common ones. My instance shows the importance of diversity and representation in healthcare. My doctor isn't gay, but he provides culturally sensitive care. I'd heard about monkeypox as a gay man in New York. I was hyper-aware of it and had heard of friends of friends who had contracted it the week before, even though the official case count in the US was 40. My physicians weren't concerned, but I was. How would it appear on his mental differential if it wasn't on his radar? Mental differential rhymes! I'll trademark it to prevent theft. differential!

I was in a rare position to recognize my condition and advocate for myself. I study infections. I'd spent months researching monkeypox. I work at a university where I rub shoulders with some of the country's greatest doctors. I'm a gay dude who follows nyc queer social networks online. All of these variables positioned me to think, "Maybe this is monkeypox," and to explain why.

This outbreak is another example of privilege at work. The brokenness of our healthcare system is once again exposed by the inequities produced by the vaccination rollout and the existence of people like myself who can pull strings owing to their line of work. I can't cure this situation on my own, but I can be a strong voice demanding the government do a better job addressing the outbreak and giving resources and advice to everyone I can.

lgbtqia+ community members' support has always impressed me in new york. The queer community has watched out for me and supported me in ways I never dreamed were possible.

Queer individuals are there for each other when societal structures fail. People went to the internet on the first day of the vaccine rollout to share appointment information and the vaccine clinic's message. Twitter timelines were more effective than marketing campaigns. Contrary to widespread anti-vaccine sentiment, the LGBT community was eager to protect themselves. Smallpox vaccination? sure. gimme. whether I'm safe. I credit the community's sex positivity. Many people are used to talking about STDs, so there's a reduced barrier to saying, "I think I have something, you should be on the watch too," and taking steps to protect our health.

Once I got monkeypox, I posted on Twitter and Instagram. Besides fueling my main character syndrome, I felt like I wasn't alone. My dc-based friend had monkeypox within hours. He told me about his experience and gave me ideas for managing the discomfort. I can't imagine life without him.

My buddy and colleague organized my medical care and let me remain in his home. His and his husband's friendliness and attention made a world of difference in my recovery. All of my friends and family who helped me, whether by venmo, doordash, or moral support, made me feel cared about. I don't deserve the amazing people in my life.

Finally, I think of everyone who commented on my social media posts regarding my trip. Friends from all sectors of my life and all sexualities have written me well wishes and complimented me for my vulnerability, but I feel the most gravitas from fellow lgbtq+ persons. They're learning to spot. They're learning where to go ill. They're learning self-advocacy. I'm another link in our network of caretaking. I've been cared for, therefore I want to do the same. Community and knowledge are powerful.

You're probably wondering where the diatribe is. You may believe he's gushing about his loved ones, and you'd be right. I say that just because the queer community can take care of itself doesn't mean we should.

Even when caused by the same pathogen, comparing health crises is risky. Aids is unlike covid-19 or monkeypox, yet all were caused by poorly understood viruses. The lgbtq+ community has a history of self-medicating. Queer people (and their supporters) have led the charge to protect themselves throughout history when the government refused. Surreal to experience this in real time.

First, vaccination access is a government failure. The strategic national stockpile contains tens of thousands of doses of jynneos, the newest fda-approved smallpox vaccine, and millions of doses of acam2000, an older vaccine for immunocompetent populations. Despite being a monkeypox hotspot and international crossroads, new york has only received 7,000 doses of the jynneos vaccine. Vaccine appointments are booked within minutes. It's showing Hunger Games, which bothers me.

Second, I think the government failed to recognize the severity of the european monkeypox outbreak. We saw abroad reports in may, but the first vaccines weren't available until june. Why was I a 26-year-old pharmacology grad student, able to see a monkeypox problem in europe but not the u.s. public health agency? Or was there too much bureaucracy and politicking, delaying action?

Lack of testing infrastructure for a known virus with vaccinations and therapies is appalling. More testing would have helped understand the problem's breadth. Many homosexual guys, including myself, didn't behave like monkeypox was a significant threat because there were only a dozen instances across the country. Our underestimating of the issue, spurred by a story of few infections, was huge.

Public health officials' response to infectious diseases frustrates me. A wait-and-see approach to infectious diseases is unsatisfactory. Before a sick person is recognized, they've exposed and maybe contaminated numerous others. Vaccinating susceptible populations before a disease becomes entrenched prevents disease. CDC might operate this way. When it was easier, they didn't control or prevent monkeypox. We'll learn when. Sometimes I fear never. Emerging viral infections are a menace in the era of climate change and globalization, and I fear our government will repeat the same mistakes. I don't work at the cdc, thus I have no idea what they do. As a scientist, a homosexual guy, and a citizen of this country, I feel confident declaring that the cdc has not done enough about monkeypox. Will they do enough about monkeypox? The strategic national stockpile can respond to a bioterrorism disaster in 12 hours. I'm skeptical following this outbreak.

It's simple to criticize the cdc, but they're not to blame. Underfunding public health services, especially the cdc, is another way our government fails to safeguard its citizens. I may gripe about the vaccination rollout all I want, but local health departments are doing their best with limited resources. They may not have enough workers to keep up with demand and run a contact-tracing program. Since my orthopoxvirus test is still negative, the doh hasn't asked about my close contacts. By then, my illness will be two weeks old, too long to do anything productive. Not their fault. They're functioning in a broken system that's underfunded for the work it does.

*Update, 7/11: I have orthopoxvirus.

Monkeypox is slow, so i've had time to contemplate. Now that I'm better, I'm angry. furious and sad I want to help. I wish to spare others my pain. This was preventable and solvable, I hope. HOW?

Third, the duty.

Family, especially selected family, helps each other. So many people have helped me throughout this difficult time. How can I give back? I have ideas.

1. Education. I've already started doing this by writing incredibly detailed posts on Instagram about my physical sickness and my thoughts on the entire scandal. via tweets. by producing this essay. I'll keep doing it even if people start to resent me! It's crucial! On my Instagram profile (@kyleplanckton), you may discover a story highlight with links to all of my bizarre yet educational posts.

2. Resources. I've forwarded the contact information for my institution's infectious diseases clinic to several folks who will hopefully be able to get tpoxx under the expanded use policy. Through my social networks, I've learned of similar institutions. I've also shared crowdsourced resources about symptom relief and vaccine appointment availability on social media. DM me or see my Instagram highlight for more.

3. Community action. During my illness, my friends' willingness to aid me has meant the most. It was nice to know I had folks on my side. One of my pals (thanks, kenny) snagged me a mcgriddle this morning when seamless canceled my order. This scenario has me thinking about methods to help people with monkeypox isolation. A two-week isolation period is financially damaging for many hourly workers. Certain governments required paid sick leave for covid-19 to allow employees to recover and prevent spread. No comparable program exists for monkeypox, and none seems to be planned shortly.

I want to aid monkeypox patients in severe financial conditions. I'm willing to pick up and bring groceries or fund meals/expenses for sick neighbors. I've seen several GoFundMe accounts, but I wish there was a centralized mechanism to link those in need with those who can help. Please contact me if you have expertise with mutual aid organizations. I hope we can start this shortly.

4. lobbying. Personal narratives are powerful. My narrative is only one, but I think it's compelling. Over the next day or so, i'll write to local, state, and federal officials about monkeypox. I wanted a vaccine but couldn't acquire one, and I feel tpoxx helped my disease. As a pharmacologist-in-training, I believe collecting data on a novel medicine is important, and there are ethical problems when making a drug with limited patient data broadly available. Many folks I know can't receive tpoxx due of red tape and a lack of contacts. People shouldn't have to go to an ivy league hospital to obtain the greatest care. Based on my experience and other people's tales, I believe tpoxx can drastically lessen monkeypox patients' pain and potentially curb transmission chains if administered early enough. This outbreak is manageable. It's not too late if we use all the instruments we have (diagnostic, vaccine, treatment).

*UPDATE 7/15: I submitted the following letter to Chuck Schumer and Kirsten Gillibrand. I've addressed identical letters to local, state, and federal officials, including the CDC and HHS.

I hope to join RESPND-MI, an LGBTQ+ community-led assessment of monkeypox symptoms and networks in NYC. Visit their website to learn more and give to this community-based charity.

How I got monkeypox is a mystery. I received it through a pride physical interaction, but i'm not sure which one. This outbreak will expand unless leaders act quickly. Until then, I'll keep educating and connecting people to care in my neighborhood.

Despite my misgivings, I see some optimism. Health department social media efforts are underway. During the outbreak, the CDC provided nonjudgmental suggestions for safer social and sexual activity. There's additional information regarding the disease course online, including how to request tpoxx for sufferers. These materials can help people advocate for themselves if they're sick. Importantly, homosexual guys are listening when they discuss about monkeypox online and irl. Learners They're serious.

The government has a terrible track record with lgtbq+ health issues, and they're not off to a good start this time. I hope this time will be better. If I can aid even one individual, I'll do so.

Thanks for reading, supporting me, and spreading awareness about the 2022 monkeypox outbreak. My dms are accessible if you want info, resources, queries, or to chat.

y'all well

kyle

Deep learning-based generative art is being researched. As usual, self-learning is better. Some models, like OpenAI's DALL-E 2, require registration and can only be used online, but others can be used locally, which is usually more enjoyable for curious users. I'll demonstrate the Stable Diffusion model's operation on a standard PC.

Let’s get started.

What It Does

Stable Diffusion uses numerous components:

• A generative model trained to produce images is called a diffusion model. The model is incrementally improving the starting data, which is only random noise. The model has an image, and while it is being trained, the reversed process is being used to add noise to the image. Being able to reverse this procedure and create images from noise is where the true magic is (more details and samples can be found in the paper).

• An internal compressed representation of a latent diffusion model, which may be altered to produce the desired images, is used (more details can be found in the paper). The capacity to fine-tune the generation process is essential because producing pictures at random is not very attractive (as we can see, for instance, in Generative Adversarial Networks).

• A neural network model called CLIP (Contrastive Language-Image Pre-training) is used to translate natural language prompts into vector representations. This model, which was trained on 400,000,000 image-text pairs, enables the transformation of a text prompt into a latent space for the diffusion model in the scenario of stable diffusion (more details in that paper).

This figure shows all data flow:

The weights file size for Stable Diffusion model v1 is 4 GB and v2 is 5 GB, making the model quite huge. The v1 model was trained on 256x256 and 512x512 LAION-5B pictures on a 4,000 GPU cluster using over 150.000 NVIDIA A100 GPU hours. The open-source pre-trained model is helpful for us. And we will.

Install

Before utilizing the Python sources for Stable Diffusion v1 on GitHub, we must install Miniconda (assuming Git and Python are already installed):

wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-Linux-x86_64.sh
chmod +x Miniconda3-py39_4.12.0-Linux-x86_64.sh
./Miniconda3-py39_4.12.0-Linux-x86_64.sh
conda update -n base -c defaults conda

Install the source and prepare the environment:

git clone https://github.com/CompVis/stable-diffusion
cd stable-diffusion
conda env create -f environment.yaml
conda activate ldm
pip3 install transformers --upgrade

Download the pre-trained model weights next. HiggingFace has the newest checkpoint sd-v14.ckpt (a download is free but registration is required). Put the file in the project folder and have fun:

python3 scripts/txt2img.py --prompt "hello world" --plms --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

Almost. The installation is complete for happy users of current GPUs with 12 GB or more VRAM. RuntimeError: CUDA out of memory will occur otherwise. Two solutions exist.

Running the optimized version

Try optimizing first. After cloning the repository and enabling the environment (as previously), we can run the command:

python3 optimizedSD/optimized_txt2img.py --prompt "hello world" --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

Stable Diffusion worked on my visual card with 8 GB RAM (alas, I did not behave well enough to get NVIDIA A100 for Christmas, so 8 GB GPU is the maximum I have;).

Running Stable Diffusion without GPU

If the GPU does not have enough RAM or is not CUDA-compatible, running the code on a CPU will be 20x slower but better than nothing. This unauthorized CPU-only branch from GitHub is easiest to obtain. We may easily edit the source code to use the latest version. It's strange that a pull request for that was made six months ago and still hasn't been approved, as the changes are simple. Readers can finish in 5 minutes:

• Replace if attr.device!= torch.device(cuda) with if attr.device!= torch.device(cuda) and torch.cuda.is available at line 20 of ldm/models/diffusion/ddim.py ().

• Replace if attr.device!= torch.device(cuda) with if attr.device!= torch.device(cuda) and torch.cuda.is available in line 20 of ldm/models/diffusion/plms.py ().

• Replace device=cuda in lines 38, 55, 83, and 142 of ldm/modules/encoders/modules.py with device=cuda if torch.cuda.is available(), otherwise cpu.

• Replace model.cuda() in scripts/txt2img.py line 28 and scripts/img2img.py line 43 with if torch.cuda.is available(): model.cuda ().

Run the script again.

Testing

Test the model. Text-to-image is the first choice. Test the command line example again:

python3 scripts/txt2img.py --prompt "hello world" --plms --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

The slow generation takes 10 seconds on a GPU and 10 minutes on a CPU. Final image:

Hello world is dull and abstract. Try a brush-wielding hamster. Why? Because we can, and it's not as insane as Napoleon's cat. Another image:

Generating an image from a text prompt and another image is interesting. I made this picture in two minutes using the image editor (sorry, drawing wasn't my strong suit):

I can create an image from this drawing:

python3 scripts/img2img.py --prompt "A bird is sitting on a tree branch" --ckpt sd-v1-4.ckpt --init-img bird.png --strength 0.8

It was far better than my initial drawing:

I hope readers understand and experiment.

Stable Diffusion UI

Developers love the command line, but regular users may struggle. Stable Diffusion UI projects simplify image generation and installation. Simple usage:

• Unpack the ZIP after downloading it from https://github.com/cmdr2/stable-diffusion-ui/releases. Linux and Windows are compatible with Stable Diffusion UI (sorry for Mac users, but those machines are not well-suitable for heavy machine learning tasks anyway;).

• Start the script.

Done. The web browser UI makes configuring various Stable Diffusion features (upscaling, filtering, etc.) easy:

V2.1 of Stable Diffusion

I noticed the notification about releasing version 2.1 while writing this essay, and it was intriguing to test it. First, compare version 2 to version 1:

• alternative text encoding. The Contrastive LanguageImage Pre-training (CLIP) deep learning model, which was trained on a significant number of text-image pairs, is used in Stable Diffusion 1. The open-source CLIP implementation used in Stable Diffusion 2 is called OpenCLIP. It is difficult to determine whether there have been any technical advancements or if legal concerns were the main focus. However, because the training datasets for the two text encoders were different, the output results from V1 and V2 will differ for the identical text prompts.

• a new depth model that may be used to the output of image-to-image generation.

• a revolutionary upscaling technique that can quadruple the resolution of an image.

• Generally higher resolution Stable Diffusion 2 has the ability to produce both 512x512 and 768x768 pictures.

The Hugging Face website offers a free online demo of Stable Diffusion 2.1 for code testing. The process is the same as for version 1.4. Download a fresh version and activate the environment:

conda deactivate  
conda env remove -n ldm  # Use this if version 1 was previously installed
git clone https://github.com/Stability-AI/stablediffusion
cd stablediffusion
conda env create -f environment.yaml
conda activate ldm

Hugging Face offers a new weights ckpt file.

The Out of memory error prevented me from running this version on my 8 GB GPU. Version 2.1 fails on CPUs with the slow conv2d cpu not implemented for Half error (according to this GitHub issue, the CPU support for this algorithm and data type will not be added). The model can be modified from half to full precision (float16 instead of float32), however it doesn't make sense since v1 runs up to 10 minutes on the CPU and v2.1 should be much slower. The online demo results are visible. The same hamster painting with a brush prompt yielded this result:

It looks different from v1, but it functions and has a higher resolution.

The superresolution.py script can run the 4x Stable Diffusion upscaler locally (the x4-upscaler-ema.ckpt weights file should be in the same folder):

python3 scripts/gradio/superresolution.py configs/stable-diffusion/x4-upscaling.yaml x4-upscaler-ema.ckpt

This code allows the web browser UI to select the image to upscale:

The copy-paste strategy may explain why the upscaler needs a text prompt (and the Hugging Face code snippet does not have any text input as well). I got a GPU out of memory error again, although CUDA can be disabled like v1. However, processing an image for more than two hours is unlikely:

Stable Diffusion Limitations

When we use the model, it's fun to see what it can and can't do. Generative models produce abstract visuals but not photorealistic ones. This fundamentally limits The generative neural network was trained on text and image pairs, but humans have a lot of background knowledge about the world. The neural network model knows nothing. If someone asks me to draw a Chinese text, I can draw something that looks like Chinese but is actually gibberish because I never learnt it. Generative AI does too! Humans can learn new languages, but the Stable Diffusion AI model includes only language and image decoder brain components. For instance, the Stable Diffusion model will pull NO WAR banner-bearers like this:

V1:

V2.1:

The shot shows text, although the model never learned to read or write. The model's string tokenizer automatically converts letters to lowercase before generating the image, so typing NO WAR banner or no war banner is the same.

I can also ask the model to draw a gorgeous woman:

V1:

V2.1:

The first image is gorgeous but physically incorrect. A second one is better, although it has an Uncanny valley feel. BTW, v2 has a lifehack to add a negative prompt and define what we don't want on the image. Readers might try adding horrible anatomy to the gorgeous woman request.

If we ask for a cartoon attractive woman, the results are nice, but accuracy doesn't matter:

V1:

V2.1:

Another example: I ordered a model to sketch a mouse, which looks beautiful but has too many legs, ears, and fingers:

V1:

V2.1: improved but not perfect.

V1 produces a fun cartoon flying mouse if I want something more abstract:

I tried multiple times with V2.1 but only received this:

The image is OK, but the first version is closer to the request.

Stable Diffusion struggles to draw letters, fingers, etc. However, abstract images yield interesting outcomes. A rural landscape with a modern metropolis in the background turned out well:

V1:

V2.1:

Generative models help make paintings too (at least, abstract ones). I searched Google Image Search for modern art painting to see works by real artists, and this was the first image:

I typed "abstract oil painting of people dancing" and got this:

V1:

V2.1:

It's a different style, but I don't think the AI-generated graphics are worse than the human-drawn ones.

The AI model cannot think like humans. It thinks nothing. A stable diffusion model is a billion-parameter matrix trained on millions of text-image pairs. I input "robot is creating a picture with a pen" to create an image for this post. Humans understand requests immediately. I tried Stable Diffusion multiple times and got this:

This great artwork has a pen, robot, and sketch, however it was not asked. Maybe it was because the tokenizer deleted is and a words from a statement, but I tried other requests such robot painting picture with pen without success. It's harder to prompt a model than a person.

I hope Stable Diffusion's general effects are evident. Despite its limitations, it can produce beautiful photographs in some settings. Readers who want to use Stable Diffusion results should be warned. Source code examination demonstrates that Stable Diffusion images feature a concealed watermark (text StableDiffusionV1 and SDV2) encoded using the invisible-watermark Python package. It's not a secret, because the official Stable Diffusion repository's test watermark.py file contains a decoding snippet. The put watermark line in the txt2img.py source code can be removed if desired. I didn't discover this watermark on photographs made by the online Hugging Face demo. Maybe I did something incorrectly (but maybe they are just not using the txt2img script on their backend at all).

Conclusion

The Stable Diffusion model was fascinating. As I mentioned before, trying something yourself is always better than taking someone else's word, so I encourage readers to do the same (including this article as well;).

Is Generative AI a game-changer? My humble experience tells me:

• I think that place has a lot of potential. For designers and artists, generative AI can be a truly useful and innovative tool. Unfortunately, it can also pose a threat to some of them since if users can enter a text field to obtain a picture or a website logo in a matter of clicks, why would they pay more to a different party? Is it possible right now? unquestionably not yet. Images still have a very poor quality and are erroneous in minute details. And after viewing the image of the stunning woman above, models and fashion photographers may also unwind because it is highly unlikely that AI will replace them in the upcoming years.

• Today, generative AI is still in its infancy. Even 768x768 images are considered to be of a high resolution when using neural networks, which are computationally highly expensive. There isn't an AI model that can generate high-resolution photographs natively without upscaling or other methods, at least not as of the time this article was written, but it will happen eventually.

• It is still a challenge to accurately represent knowledge in neural networks (information like how many legs a cat has or the year Napoleon was born). Consequently, AI models struggle to create photorealistic photos, at least where little details are important (on the other side, when I searched Google for modern art paintings, the results are often even worse;).

• When compared to the carefully chosen images from official web pages or YouTube reviews, the average output quality of a Stable Diffusion generation process is actually less attractive because to its high degree of randomness. When using the same technique on their own, consumers will theoretically only view those images as 1% of the results.

Anyway, it's exciting to witness this area's advancement, especially because the project is open source. Google's Imagen and DALL-E 2 can also produce remarkable findings. It will be interesting to see how they progress.