Evoke

Run open source AI models on the cloud with our APIs

4.7•3 reviews•

413 followers

Run open source AI models on the cloud with our APIs

4.7•3 reviews•

413 followers

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Unified API

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AI Infrastructure Tools

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Cloud Computing Platforms

Evoke hosts open source AI models on the cloud for devs and businesses developing AI apps. Run open source models like stable diffusion with our API, and browse new models we frequently add in our mission to make AI more accessible for all.

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Launch tags:Web App•API•Artificial Intelligence

Launch Team

LightfieldAI-native CRM that builds itself and does work for you

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Evoke

Maker

📌

👋 Hey Product Hunt! I’m Richard, the Co-founder of Evoke. ❓ What’s Evoke? Evoke is a platform hosting AI models for easy API usage. We just launched our stable diffusion API, which allows devs making AI apps to focus on building their apps rather than focus on cloud hosting, inference, and MLops. All you have to do is get your API key and you start running stable diffusion immediately with a few lines of code. For now, we host stable diffusion v1.5, however, we’re moving quickly to have other models + fine tuning your own models with dreambooth in the near future, so stay tuned for updates. 🚀Here are some benefits we offer over other stable diffusion APIs: - Faster generations. We’ve optimized it so generations are lightning fast. - Cheap pricing. We’re geared more towards developers and we understand you don’t want to spend a fortune on testing and making large batches of calls, so we’ve kept prices low. - Pay as you go. As opposed to a credit system or monthly sub, you’ll pay only what you use. - Easy to understand documentation. As you probably all know, a poorly documented API is most infuriating, so we’ve made our docs clear and easy to understand. 🤖 How it works 1. Create an account 2. Get your API key 3. Call the API for inference with your preferred settings (prompt, step count, CFG scale, etc) You can see our docs here 🌎Our mission When we first started making stable diffusion apps, we hit massive roadblocks with getting it set up on the cloud + knowledge of ML, so this gave us the idea to streamline the process for devs. Overall, we want to make open source AIs more accessible to all, not just those with high end GPUs or ML and cloud infra knowledge. Thanks to everyone who supported our journey! 🙏 Happy to answer any questions, and please let us know your feedback :) 👉 Website 👉 API docs https://evoke-app.com/docs 👉 Head over to our Discord for feedback, questions, staying tuned for new updates, or just to hang out

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3yr ago

Growth Hackers Guide To Producthunt

🧐 Good find

Hey Richard, I have made an account to test the API. The UX is very intuitive! 😍 Some questions: 1. Is it wise to add Paypal next to Strip since you can pay directly after logging in? 2. Would the user be more convinced to try out a model when you show them the output next to the examples of your REST API? I have tested your API model in Google Colab and got the same in the Jupiter notebook; when I tested your API with each AUTH token, it gave an error response; I have sent you the screenshots on LinkedIn. 😓 I am comparing implementing your API versus the one from open AI; so far, both seem not Python-friendly and built for Javascript. 🙃 Remember speed to value, I should be able to copy past the script in a cloud console, and it should work with my key.🌱 But congratulations on having position one in the morning; good luck with the launch! 🔥 I can't share this with my network at the moment since it doesn't work; when you have fixed that reach out to me on LinkedIn, and I will share your tool there and on Twitter.

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3yr ago

Evoke

Maker

@jas801 1. Thanks for the feedback. We'll be adding Paypal soon 2. Good point. We'll add some pictures in the docs As for the Google Collab, you're supposed to use one auth token. My bad for not specifying. We'll make sure to tell users about that too. Thanks for the helpful feedback!

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3yr ago

Growth Hackers Guide To Producthunt

Thanks for listening! @richard_gao2 I used one token, but that did not work. So I used the other one, which did not work as well.

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3yr ago

Evoke

Maker

@jas801 Hmmm, will check with my co-founders

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3yr ago

Evoke

Maker

@richard_gao2 @jas801 Hey Jasper! CEO of evoke here, I'm working on this issue personally. Can you get in contact with me over Discord at Milo G#4162 ? If not, let me know an alternative contact method I can reach you over.

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3yr ago

Growth Hackers Guide To Producthunt

@richard_gao2 @milogoodfellow Thanks for fixing the issue, Milo!

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3yr ago

EnVsion AI

Congrats on the launch Richard and Evoke team! This seems like something developers looking to experiment with visual AI require these days. Most of us don't want to have to deal with the infra needed to set up AI models. Are you planning to "host" LLMs for NLP outside OpenAI's too? Also, what's the latency like? I am assuming you only run/provision these models once you receive a request (a la serverless), so could there be cold start problems that would impact latency and end user experience in general?

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3yr ago

Evoke

Maker

@ed_forson 1. Yep, we're planning on hosting LLMs in the near future 2. it's around 3s per image for default settings. There is a cold boot, but the server will stay on for a while after your generation, so if you generate lots of images consecutively, it will only take 3s per image since the server won't shut off You'll also only be charged for generation time, NOT cold boot time We are planning on reducing cold boost greatly in the near future. And if enough ppl use it, there will be no cold boot since the servers will be on all the time

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3yr ago

EnVsion AI

@richard_gao2 Fantastic. Thanks for the clear answers! I'll be checking you guys out when you introduce LLMs 👀. Good luck with everything!

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3yr ago

It's a great ai plugin product. I will try it, if I have an API plugin, how should I interface with your platform?

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3yr ago

Evoke

Maker

@charles_ We don't have a UI yet, but someone actually built one: https://github.com/rogeriochaves... You can integrate the API into it

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3yr ago

SphereOne

Really like that your helping make running/maintaining AI models a more seamless task. There’s a lot of overhead involved especially on the MLOps side of things. Does Evoke help with continuous learning and assessing/serving new models to prod?

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3yr ago

Evoke

Maker

@cjries We don't have training yet. But we'll have dreambooth integration soon, which will allow users to train their own AI models via fine tuning. So 100% it will be able to serve new models to prod. Continuous learning, we haven't looked into yet, but it seems like something that might become big in the future, so we'll check it out.

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3yr ago

The technical wins are clear, congrats! But the marketing could be much better: > “launch AI apps & SaaS 42% faster…” > “Save 77% on development time…” > “Develop 2.44 times faster with..” > “Never spend your … doing … again.” > “Create AI tools like a pro, without..” In your description, get clear and precise. “Faster generations.” How much faster? 1%? 10%? 26%? “Cheap pricing” why? Benchmark? Calculate it through on a whole development proces The innovation is not clear on an emotional level. Remember that most of your investors have much less to little clue about tech specifications. Hope it helps, cheers for the awesome innovation.

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3yr ago

Evoke

Maker

@claudio_fray Thanks, we'll keep that in mind

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3yr ago

I have been following this for a while, and I'm glad to see it getting out there! Good luck with the launch Richard!

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3yr ago

Evoke

Maker

@joel_pickin Thanks for the support Joel!

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3yr ago

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