Vinit Kumar Singh's picture

Vinit Kumar Singh

vinitsingh2025

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reacted to prithivMLmods's post with 🔥 3 days ago

Bringing out style-intermixing adapters for Flux.Dev, including Aura Glow, Fallen Ink Art, Cardboard Paper Arts, Black & White Expressions, and Glitter Gem Touch. For more details, visit the model card of the LoRA. 🥳 ╰┈➤Demo : https://huggingface.co./spaces/prithivMLmods/FLUX-LoRA-DLC2 & https://huggingface.co./spaces/prithivMLmods/FLUX-LoRA-DLC ╰┈➤ Adapters : + Aura Glow : https://huggingface.co./strangerzonehf/2DAura-Flux + Fallen Ink Art : https://huggingface.co./strangerzonehf/FallenArt-Flux + Black & White Expressions : https://huggingface.co./strangerzonehf/BnW-Expressions-Flux + Glitter Gem Touch : https://huggingface.co./strangerzonehf/Gem-Touch-LoRA-Flux + Cardboard Paper Arts v1 : https://huggingface.co./strangerzonehf/Flux-Cardboard-Art-LoRA + Cardboard Paper Arts v2 : https://huggingface.co./strangerzonehf/Cardboard-v2-Flux ╰┈➤ Pages : - Repository Page : https://huggingface.co./strangerzonehf - Collection : https://huggingface.co./collections/strangerzonehf/mixer-adp-042025-68095c365d9d1072c8d860be - Flux Ultimate LoRA Collection : https://huggingface.co./strangerzonehf/Flux-Ultimate-LoRA-Collection - By prithivMLmods : https://huggingface.co./prithivMLmods The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.

reacted to merterbak's post with 🔥 3 days ago

FlowReasoner is a new system that builds a custom set of small AI agents for every user question. Unlike search based methods it uses reasoning driven optimization with external execution feedback. ✅ First, it distills reasoning data using DeepSeek R1-671B to build multi agent systems. 🤖 ✅ Then, reasoning data used for DeepSeek-R1-Distill-Qwen-7B via supervised fine tuning for basic reasoning skills. 💡 ✅ Finally, RL with GRPO (optimizes by comparing response groups from queries/tasks) to improve reasoning. https://huggingface.co./papers/2504.15257 Code: https://github.com/sail-sg/flowreasoner

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