Ollama VS PixelAPI.dev
Compare Ollama VS PixelAPI.dev and see what are their differences
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Ollama
LM Studio
LangChain
Jan.ai
Hugging Face
GPT4All
Claude AI
AnythingLLM
PixelAPI.dev
Replicate.com
Stability
DeepAI
Ruxa.ai
remove.bg for Photoshop
Ollama PixelAPI.devOllama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
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Based on our record, Ollama seems to be a lot more popular than PixelAPI.dev. While we know about 280 links to Ollama, we've tracked only 4 mentions of PixelAPI.dev. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ollama lets you run open source models locally. After installing it, you have a server running at http://localhost:11434. - Source: dev.to / 4 days ago
It began as a small experiment on my base Mac mini. I pulled Qwen through Ollama just to see how capable the model would be running directly on a local machine. The results were far better than I expected. Good enough that I stopped thinking of it as a toy and started thinking about production. - Source: dev.to / 5 days ago
Try out this sample that embeds and loads data into the emulator. It uses LangChain, a popular open-source framework for building AI applications, and Ollama, a tool for running open-source models locally. - Source: dev.to / 9 days ago
A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 10 days ago
I uploaded a 40-page PDF of an internal API spec, asked "what's the rate limit for the search endpoint?", and got back: "100 requests per minute per API key, with bursts up to 200. See section 4.2 of the document." With citations. In about three seconds. The whole stack runs on my laptop. It cost me $0 in LLM credits during development because Ollama is free and local, and the embedder I used is also free and... - Source: dev.to / 10 days ago
Import httpx Import os PIXELAPI_KEY = os.environ["PIXELAPI_KEY"] Def color_grade(image_url: str, style: str) -> str: response = httpx.post( "https://pixelapi.dev/api/color-grade", headers={"Authorization": f"Bearer {PIXELAPI_KEY}"}, json={ "image_url": image_url, "style": style, }, timeout=30, ) response.raise_for_status() return... - Source: dev.to / about 1 month ago
I shipped PixelAPI's /v1/pattern endpoint yesterday โ 8 styles, 512px or 1024px output, recolor + upscale ops, fully seamless tileable. At $0.008/pattern, it's 2-5ร cheaper than PatternedAI's GUI sessions. - Source: dev.to / 2 months ago
Import fs from "fs"; Import path from "path"; Import fetch from "node-fetch"; Import FormData from "form-data"; Async function addShadow(imagePath) { const form = new FormData(); form.append("image", fs.createReadStream(imagePath)); const response = await fetch("https://pixelapi.dev/api/shadow-generator", { method: "POST", headers: { Authorization: `Bearer ${process.env.PIXELAPI_KEY}`, ... - Source: dev.to / 2 months ago
Free credits at pixelapi.dev โ no card needed. Run your hardest test images through it. - Source: dev.to / 3 months ago
LM Studio - Discover, download, and run local LLMs
Replicate.com - Run open-source machine learning models with a cloud API
LangChain - Framework for building applications with LLMs through composability
Stability - Activating humanity's potential through generative AI. Open models in every modality, for everyone, everywhere.
Jan.ai - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAIโs GPT-4 or Groq.
DeepAI - Easily build the power of AI into your applications