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Jonathan Zachary Koch
jonathanzkoch
AI & ML interests
NLP, Robotics, Semantics, Representational Learning, Perception, Recommender Systems, Relation Neural Networks, Flow Matching, Cross Linked Universal Selection
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jonathanzkoch's activity
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aiqcamp's
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18 days ago
Post
3445
# 🎨 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
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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Post
5927
Reasoning SmolLM2 🚀
🎯Fine-tuning SmolLM2 on a lightweight synthetic reasoning dataset for reasoning-specific tasks. Future updates will focus on lightweight, blazing-fast reasoning models. Until then, check out the blog for fine-tuning details.
🔥Blog : https://huggingface.co/blog/prithivMLmods/smollm2-ft
🔼 Models :
+ SmolLM2-CoT-360M : prithivMLmods/SmolLM2-CoT-360M
+ Reasoning-SmolLM2-135M : prithivMLmods/Reasoning-SmolLM2-135M
+ SmolLM2-CoT-360M-GGUF : prithivMLmods/SmolLM2-CoT-360M-GGUF
🤠 Other Details :
+ Demo : prithivMLmods/SmolLM2-CoT-360M
+ Fine-tune nB : prithivMLmods/SmolLM2-CoT-360M
🎯Fine-tuning SmolLM2 on a lightweight synthetic reasoning dataset for reasoning-specific tasks. Future updates will focus on lightweight, blazing-fast reasoning models. Until then, check out the blog for fine-tuning details.
🔥Blog : https://huggingface.co/blog/prithivMLmods/smollm2-ft
🔼 Models :
+ SmolLM2-CoT-360M : prithivMLmods/SmolLM2-CoT-360M
+ Reasoning-SmolLM2-135M : prithivMLmods/Reasoning-SmolLM2-135M
+ SmolLM2-CoT-360M-GGUF : prithivMLmods/SmolLM2-CoT-360M-GGUF
🤠 Other Details :
+ Demo : prithivMLmods/SmolLM2-CoT-360M
+ Fine-tune nB : prithivMLmods/SmolLM2-CoT-360M
reacted to
MonsterMMORPG's
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Post
3349
SANA: Ultra HD Fast Text to Image Model from NVIDIA Step by Step Tutorial on Windows, Cloud & Kaggle — Generate 2048x2048 Images
Below is YouTube link for step by step tutorial and a 1-Click to installer having very advanced Gradio APP to use newest Text-to-Image SANA Model on your Windows PC locally and also on cloud services such as Massed Compute, RunPod and free Kaggle.
https://youtu.be/KW-MHmoNcqo
This above tutorial covers the newest SANA 2K model and I predict SANA 4K model will be published as well. Sana 2K model is 4 MegaPixel so it can generate the following aspect ratio and resolutions very well:
“1:1”: (2048, 2048), “4:3”: (2304, 1792), “3:4”: (1792, 2304),
“3:2”: (2432, 1664), “2:3”: (1664, 2432), “16:9”: (2688, 1536),
“9:16”: (1536, 2688), “21:9”: (3072, 1280), “9:21”: (1280, 3072),
“4:5”: (1792, 2240), “5:4”: (2240, 1792)
I have developed an amazing Gradio app with so many new features :
VAE auto offloading to reduce VRAM usage significantly which is not exists on official pipeline
Gradio APP built upon official pipeline with improvements so works perfect
Batch size working perfect
Number of images working perfect
Multi-line prompting working perfect
Aspect ratios for both 1K and 2K models working perfect
Randomized seed working perfect
1-Click installers for Windows (using Python 3.10 and VENV — isolated), RunPod, Massed Compute and even a free Kaggle account notebook
With proper latest libraries working perfect speed on Windows too
Automatically properly saving every generated image into accurate folder
🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial) ⤵️
▶️ https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-116474081
🔗 SECourses Official Discord 9500+ Members ⤵️
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
Below is YouTube link for step by step tutorial and a 1-Click to installer having very advanced Gradio APP to use newest Text-to-Image SANA Model on your Windows PC locally and also on cloud services such as Massed Compute, RunPod and free Kaggle.
https://youtu.be/KW-MHmoNcqo
This above tutorial covers the newest SANA 2K model and I predict SANA 4K model will be published as well. Sana 2K model is 4 MegaPixel so it can generate the following aspect ratio and resolutions very well:
“1:1”: (2048, 2048), “4:3”: (2304, 1792), “3:4”: (1792, 2304),
“3:2”: (2432, 1664), “2:3”: (1664, 2432), “16:9”: (2688, 1536),
“9:16”: (1536, 2688), “21:9”: (3072, 1280), “9:21”: (1280, 3072),
“4:5”: (1792, 2240), “5:4”: (2240, 1792)
I have developed an amazing Gradio app with so many new features :
VAE auto offloading to reduce VRAM usage significantly which is not exists on official pipeline
Gradio APP built upon official pipeline with improvements so works perfect
Batch size working perfect
Number of images working perfect
Multi-line prompting working perfect
Aspect ratios for both 1K and 2K models working perfect
Randomized seed working perfect
1-Click installers for Windows (using Python 3.10 and VENV — isolated), RunPod, Massed Compute and even a free Kaggle account notebook
With proper latest libraries working perfect speed on Windows too
Automatically properly saving every generated image into accurate folder
🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial) ⤵️
▶️ https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-116474081
🔗 SECourses Official Discord 9500+ Members ⤵️
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
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