¿Tienes un flujo de trabajo de ComfyUI? Obtén un Workflow Doc legible en tu navegador.Haz legible un flujo de trabajo.Pruébalo ahora ↗
Since the 4xFFHQDAT model is not able to handle the noise present in low quality input images, i made a small variant/finetune of this, the 4xFFHQLDAT model. This model might come in handy if your input image is of...
Fuente del modelo
Descripción de la fuente
Since the 4xFFHQDAT model is not able to handle the noise present in low quality input images, i made a small variant/finetune of this, the 4xFFHQLDAT model. This model might come in handy if your input image is of bad quality/not suited for above model. I basically made this model in a response to an input image posted in upscaling-results channel as a request to this upscale model (since 4xFFHQDAT would not be able to handle noise), see Imgsli1 example below for result.
Name: 4xFFHQLDAT Author: Philip Hofmann Release Date: 25.08.2023 License: CC BY 4.0 Network: DAT Scale: 4 Purpose: 4x upscaling model for low quality input photos of faces Iterations: 44000 batch_size: 4 HR_size: 128 Dataset: FFHQ - full dataset till 50k, then first 10k img multiscaled (resulted in ~260k imgs, 126GB) Number of train images: 259990 OTF Training: Yes Pretrained_Model_G: 4xFFHQDAT
Fuentes
1 fuenteVerificado 8 ago
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractosExample6
Example7
--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution --- [Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xFFHQDAT) # 4xFFHQLDAT Since the 4xFFHQDAT model is not able to handle the noise present in low quality input images, i made a small variant/finetune of this, the 4xFFHQLDAT model. This model might come in handy if your input image is of bad quality/not suited for above model. I basically made this model in a response to an input image posted in upscaling-results channel as a request to this upscale model (since 4xFFHQDAT would not be able to handle noise), see Imgsli1 example below for result. Name: 4xFFHQLDAT Author: Philip Hofmann Release Date: 25.08.2023 License: CC BY 4.0 Network: DAT Scale: 4 Purpose: 4x upscaling model for low quality input photos of faces Iterations: 44000 batch_size: 4 HR_size: 128 Dataset: FFHQ - full dataset till 50k, then first 10k img multiscaled (resulted in ~260k imgs, 126GB) Number of train images: 259990 OTF Training: Yes Pretrained_Model_G: 4xFFHQDAT Examples 4xFFHQLDAT: [Imgsli1](https://imgsli.com/MjAwNjYx) [Imgsli2](https://imgsli.com/MjAwNjYy) [Imgsli3](https://imgsli.com/MjAwNjYz)  
Source context: 0 downloads · 1 likes · Pipeline image-to-image · Repo Phips/4xFFHQLDAT
