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μ2Qwen3-4B-Instruct is a multi-scale multi-modal model designed for Radiology Report Generation (RRG). It leverages the μ2Tokenizer, a differentiable intermediate layer that efficiently fuses visual features from 3D...
another merger using i2i adetailer amd reactor. used DENmaudSG and DENbbougiebb for the look.
Works best at 0.75 weight.
Activation: Check trigger words Reinforcement Tags: armor, robot joints, joints, robot, humanoid robot, android, multicolored eyes, blue sclera, multicolored skin, white skin, black skin, double bun
This model is a fine-tuned version of WinKawaks/vit-tiny-patch16-224 on the None dataset. It achieves the following results on the evaluation set: Loss: 3.6708 Accuracy: 0.1759 F1 Macro: 0.0048
This repository contains the model for the paper:
Works best at 0.75 weight.
| Field | Content | | Model Name | rh-qwen-image-lightning-8steps-v2.0-bf16-lora | | Model Type | LoRA | | Platforms | ComfyUI / RunningHub / Hugging Face | | Author | RunningHub-@87time | | Original | | | Try online...
Works best at 0.75 weight.