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A SegFormer-B0 model fine-tuned on Cityscapes for 7-class semantic segmentation of road scenes. This model uses a purpose-built taxonomy where every class maps directly to a game element — road texture, sky backdrop,...
> Note: This repository is an archived mirror and is not the original upstream source. > The original model, weights, and documentation are developed and maintained by Google DeepMind. > > All hosted model weights...
Works best at 0.75 weight.
Finding all my models or profile elsewhere than Civitai is without my consent !
NOTE : Showcase images were created with ComfyUI and are in PNG, include metadata & workflow.
明日方舟的伺夜,plot指西装剧情立绘 四爷(笑
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.7219 Accuracy: 0.2727
Works best at 0.75 weight.
Fine-tuned Wav2Vec2 model for detecting AI-generated speech. Determines if audio was spoken by a human or created by AI text-to-speech/voice cloning software.
another merger from my TI's. made with " [DENclaudiafSG:[DENaeblackwell|DENrileyrowan]:0.55] " for the overall look wit
For image generation, I used the standard basic workflow without any additional custom nodes, except for a simple upscaler (feel free to use any upscaler you prefer).I went with the sampler combination ersde/simple....
