| | Hey everyone! 👋 We just shipped something we’ve been cooking up for a while – full LoRA training support for Qwen-Image-Edit, plus our first trained model is now live on Hugging Face! Why this matters: What makes InScene LoRA special:
Below are a few examples (the left shows the original model, the right shows the LoRA)
Prompt: Make a shot in the same scene of the person moving further away from the camera, keeping the camera steady to maintain focus on the central subject, gradually zooming out to capture more of the surrounding environment as the figure becomes less detailed in the distance. Links:
P.S. – This is just our first LoRA for Qwen Image Edit. We’re planning add more specialized LoRAs for different editing scenarios. What would you like to see next? submitted by /u/Worldly-Ant-6889 |
In this article, you will learn what Python descriptors are and how to use them…
Amazon Bedrock now supports structured outputs for all Anthropic Claude models, on both the bedrock-runtime…
Imagining traditional gearheads getting their hands on software-defined vehicles is an amusing thought experiment. With…
NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest…
You can never have too many portable chargers, especially when they’re this discounted.
A robot artificial intelligence (AI) system has been developed that can understand human instructions, predict…