Niroshan Ranapathi’s Post

We're excited to announce Flux 1.1 Pro on Freepik —a premium partnership with Black Forest Labs. What is Flux 1.1 Pro? 🫐 Developed by Black Forest Lab, Flux 1.1 Pro is a state-of-the-art text-to-image model offering greater control, top-quality results and 6x faster. The project was hidden under the code name: Blueberry. The mistery is solved. It is now available for all users until Friday. Free users get 5 images, Premium users can enjoy it thanks to the credit-based system. Creativity enters a new era. Access with the link in the first comment 💬

I’m thrilled ✨ to share a glimpse into my latest project where I’ve ventured into the realm of ROS2. After diligent learning and application of essential ROS concepts, I’ve successfully created a mobile robot in Ros2 workspace. The journey didn’t stop there; I brought my creation to life by simulating it in Rviz and Gazebo using its self-written URDF file. @ROS @Gazebo 🚜 Team RED 👨💻 Explore the code and URDF: https://lnkd.in/gMuN7XYP

Today I am building a density powergrade from scratch using the LAB colorspace (I may switch to a spherical one). If I turn into a wolf and start howling at the moon, you'll know what happened. Building custom tools is to transform into insanity itself. During this process, I am listening to this:

There are 2 ways to fine-tune the new Gemma models: ✅ LoRA fine-tuning ✅ Supervised fine-tuning ✨ Run CodeGemma on TensorRT-LLM ➡️

There are 2 ways to fine-tune the new Gemma models: ✅ LoRA fine-tuning ✅ Supervised fine-tuning ✨ Run CodeGemma on TensorRT-LLM ➡️

There are 2 ways to fine-tune the new Gemma models: ✅ LoRA fine-tuning ✅ Supervised fine-tuning ✨ Run CodeGemma on TensorRT-LLM ➡️

There are 2 ways to fine-tune the new Gemma models: ✅ LoRA fine-tuning ✅ Supervised fine-tuning ✨ Run CodeGemma on TensorRT-LLM ➡️

There are 2 ways to fine-tune the new Gemma models: ✅ LoRA fine-tuning ✅ Supervised fine-tuning ✨ Run CodeGemma on TensorRT-LLM ➡️

There are 2 ways to fine-tune the new Gemma models: ✅ LoRA fine-tuning ✅ Supervised fine-tuning ✨ Run CodeGemma on TensorRT-LLM ➡️

There are 2 ways to fine-tune the new Gemma models: ✅ LoRA fine-tuning ✅ Supervised fine-tuning ✨ Run CodeGemma on TensorRT-LLM ➡️