Developer's Guide: Using the FLUX.1 [Schnell] AI Model
FLUX.1 [Schnell] AI Model, the latest from Black Forest Labs, is now available on the NeurochainAI. This model is your go-to for swiftly converting text into images, perfect for any creative or professional endeavor.
This open-source AI model is getting noticed in the world of AI for its solid performance. It's proving to be a practical tool for both casual users and to enterprises. Here's a brief look at what FLUX.1 [Schnell] brings to the table and how to get started with it on NeurochainAI.
Who Are Black Forest Labs?
Black Forest Labs is at the forefront of generative AI research, specializing in media like images and videos. Their goal is to revolutionize creativity, efficiency, and diversity through cutting-edge deep learning models. They are committed to making AI accessible, increasing public AI literacy, and ensuring AI safety, setting industry standards with the FLUX.1 series for text-to-image synthesis.
Exploring FLUX.1 [Schnell]
FLUX.1 [Schnell] is a marvel with its 12 billion parameters, designed for users who demand both speed and quality. This model uses a rectified flow transformer to produce vibrant images from text descriptions swiftly, competing with even the most exclusive closed-source models.
Distinctive Features of FLUX.1 [Schnell]
Top-notch seed and quality: With 12 billion parameters, FLUX.1 [Schnell] is built for those who need their images fast without cutting corners on quality. Now, creating a detailed image on NeurochainAI can happen in 15 seconds, bringing your visions to life almost instantly.
Variety of forms and styles: FLUX.1 can do a bit of everything when it comes to making images. Whether you want old-school game graphics, plans for a modern building, or a super realistic face, FLUX.1 can make it happen. It's not stuck doing just one type of art, like only cartoon characters, but it still makes great pictures no matter what style you ask for. So, if you're thinking of creating a busy city scene at night, a magical forest creature, or just a simple, clear drop of water on a leaf, FLUX.1 is up to the task.
Prompt: A bedroom filled with realistic flowers and greenery, resembling a botanical garden, featuring a bed with yellow sheets, a working table with a laptop, and a large window showcasing a forest view.
Following the complex prompts: In some cases, when you give an AI lots of details to create an image, it can get things mixed up or not do exactly what you want. However, with FLUX.1, you can insert multiple elements, specific artistic styles, and detailed compositional instructions, all in a single prompt with confidence that it will create something that looks very much like what you imagined.
Prompt: a hyper-realistic close-up of a dewdrop on a watermelon.
Text like never before: If your project involves text in images, FLUX.1 has you covered, not with perfection at every step, but with an impressive capability for turning words into visual art. With a bit of guidance through your prompts, you can manipulate text in ways you haven't thought possible: altering fonts, adjusting sizes, choosing colors, and positioning text just where you need it.
Think of FLUX.1 as your new go-to for making posters, designing covers, creating logos, or any artwork where text plays a key role.
Prompt: A man performing on the street with his guitar, a sign beside him reading, "1 Dollar Could Change My Life."
FLUX.1 [Schnell] on NeurochainAI
The FLUX.1 AI model is optimized using the GGUF method on NeurochainAI, which stands for GPT-Generated Unified Format. For those unfamiliar with the GGUF method, it significantly enhances the efficiency and compatibility of large language models (LLMs) by compressing them for faster loading and operation on local devices with limited resources. This format not only standardizes model packaging for improved cross-platform usability but also supports easy customization, allowing users to modify models on consumer-grade hardware without extensive retraining, thus broadening access to advanced AI functionalities.
In optimizing the model, we applied 8-bit, 6-bit, and 4-bit weight quantization, finding that the 8-bit format delivers performance nearly indistinguishable from 16-bit weights while cutting computation costs in half.
As mentioned above, the adoption of GGUF by NeurochainAI for the FLUX.1 AI model signifies a shift towards more efficient, scalable, cost-effective, and versatile AI inference solutions. It enables faster load times, easier data handling, and fosters future innovations in model development without sacrificing compatibility.
Pricing for FLUX.1 [Schnell] on NeurochainAI
Access the FLUX.1 [Schnell] model on NeurochainAI's Distributed Inference Network for ONLY $10, which will get you 10,000 generated images.
FLUX.1 [Schnell] Step-by Step Guide:
Step 1: Access the NeurochainAI app and login with the email/wallet.
Go to app.neurochain.ai.
Step 2: Add NCN Credits
To integrate Flux.1 Schnell into your solution, you need to have NCN Credits that are used to pay for inference. Follow the instructions on how to top-up your account here.
Step 3: Generate and Copy Your API Key
You will need an API key to connect your chatbot to the NeurochainAI network:
-Go to Use Distributed Inference Network on the Homepage of the dashboard.
-Go to Flux Image.
-Click Generate Key, and copy your API key.
Test Flux.1 Schnell on DIN
We've integrated Flux.1 [Schnell] on our Discord so that our community could generate images and developers could test the Distributed Inference Network (DIN).
All image generation is processed on DIN.
- Head to Discord
- Type /flux and your prompt.
- There is a limit to 3 FREE images per day.
Video Tutorial on Using FLUX.1 [Schnell] AI Model