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Skataka
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reacted to aiqcamp's post with 🔥 7 days ago
# 🎨 FLUX Diagram Generator - Create Hand-Drawn Style Diagrams https://huggingface.co/spaces/aiqcamp/diagram Generate beautiful mind maps and diagrams with AI! Using the FLUX.1-schnell model, create natural hand-drawn style diagrams that bring your ideas to life. ## ✨ Key Features - 💡 Intuitive prompt-based input system - 🎯 Rich examples including knowledge trees, digital transformation, creative process, and more - 🛠 Customizable settings for image size, seed values, and more - 🖼 Support for resolutions up to 2048x2048 - ⚡ Fast generation (4 steps default) ## 🎯 Use Cases - Educational materials - Project planning - Idea structuring - Presentation visuals - Business process visualization Built with Gradio for a user-friendly interface that anyone can use. Start creating your own diagrams now! 🚀 Try it out to transform your ideas into visually appealing diagrams with a unique hand-drawn aesthetic. #AIart #Diagram #Mindmap #Visualization #HuggingFace
new activity 2 months ago
apple/mistral-coreml:Unable to run the model with SwiftChat sample app
liked a model 3 months ago
genmo/mochi-1-preview
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reacted to aiqcamp's post with 🔥 7 days ago
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3259
# 🎨 FLUX Diagram Generator - Create Hand-Drawn Style Diagrams

aiqcamp/diagram

Generate beautiful mind maps and diagrams with AI! Using the FLUX.1-schnell model, create natural hand-drawn style diagrams that bring your ideas to life.

## ✨ Key Features

- 💡 Intuitive prompt-based input system
- 🎯 Rich examples including knowledge trees, digital transformation, creative process, and more
- 🛠 Customizable settings for image size, seed values, and more
- 🖼 Support for resolutions up to 2048x2048
- ⚡ Fast generation (4 steps default)

## 🎯 Use Cases

- Educational materials
- Project planning
- Idea structuring
- Presentation visuals
- Business process visualization

Built with Gradio for a user-friendly interface that anyone can use. Start creating your own diagrams now! 🚀

Try it out to transform your ideas into visually appealing diagrams with a unique hand-drawn aesthetic.

#AIart #Diagram #Mindmap #Visualization #HuggingFace
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New activity in apple/mistral-coreml 2 months ago

Unable to run the model with SwiftChat sample app

1
#10 opened 2 months ago by
jfcmelo
liked a model 3 months ago
replied to their post 4 months ago
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Sure, here you go; this data is using my Mac. I haven't been able to test it on an iPhone, as I don't have the 16, but I believe it should also work with the iPhone 16.

Context and Setup
Device used: Mac Studio M1 Ultra 64GB with macOS 15.0.1
Models tested: Mistral7B-Instruct V0.3:

  • INT4
  • FP16
  • Decoding algorithm: Greedy

First Run (Model Adaptation):
This is the initial execution when the app is first launched, and Core ML adapts the model to your device’s hardware. This adaptation process is time-consuming as Core ML optimizes the model to leverage the device’s capabilities in future runs.

Configuration Execution Type Time for First Token (s) Generation Speed (tokens/s)
INT4 First Run (Model Adaptation) 32.81 -
INT4 Subsequent Runs - First Token 2.62 4.55
INT4 Additional Iteration 0.32 3.90
FP16 First Run (Model Adaptation) 87.28 -
FP16 Subsequent Runs - First Token 23.17 5.93
FP16 Additional Iteration 7.52 4.09
posted an update 4 months ago
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2434
SwiftMistralCoreML
Hi Everyone,

I have created a Swift library to interact with Mistral 7B models in CoreML on macOS.

I hope you find it helpful.

https://github.com/cardona/SwiftMistralCoreML

An open-source Swift library that enables macOS and iOS projects to utilize the Mistral-Interact7B models (INT4 and upcoming FP16) in chat mode. This library includes a complete Swift implementation of the tokenizer and Byte Pair Encoding (BPE) encoder, providing an out-of-the-box solution for integrating advanced language models into your Swift applications.

Features

Full Swift Implementation: Includes tokenizer and BPE encoder written entirely in Swift.
CoreML Integration: Leverages Apple's CoreML framework to run Mistral-Interact7B models efficiently.
Multiple Decoding Strategies: Supports Greedy and Top-K sampling, with plans to add more strategies.
Chat Functionality: Designed to work in chat mode for interactive applications.
FP16 Support (Coming Soon): Future version will support FP16 models for improved performance.

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liked a dataset over 1 year ago