Latent Upscale: Linear interpolation of latent.SDXL, 2x upscale:MSE ↓LPIPS ↓PSNR ↑Time (ms) ↓ VAE Upscale 0.009 0.22 26.9 832 NN Upscale 0.010 0.28 26.3 36 Latent Upscale 0.047 0.65 19.5 0.1SDXL, 1.5x upscale:MSE ↓LPIPS ↓PSNR ↑Time (ms) ↓ VAE Upscale 0.009 0.20 26.9 583 NN ...
["v1", "xl"],), "scale_factor": (["1.25", "1.5", "2.0"],), } } RETURN_TYPES = ("LATENT",) FUNCTION = "upscale" CATEGORY = "latent" def upscale(self, samples, latent_ver, scale_factor): model = Upscaler(scale_factor) filename = f"latent-upscaler-v{model.version}_SD{...
Another commonality between these and most subsequent approaches to (text-to-)video synthesis [27, 93, 95] is the usage of dedicated expert models to generate the actual visual content at a coarse frame rate and to temporally upscale this low-fps video to temporally smooth...
ComfyUI中2种基础的放大方法和1种最常用放大方法,真实像素空间放大,latent潜空间放大,SD upscale放大 AI垫脚石· 5-14 364003:52 TMYTEK & NI | BBox & UD Box upgrade PXI Series to perform mmWave 4K video stream 稜研科技TMYTEK· 2021-5-24 2365906:48 [BEATBOX]H-has丨U CAN BEATBOX丨Judge Show...
Files master examples LICENSE README.md __init__.py evaluation.py latent_resizer.py latent_resizer_train.py nn_upscale.py sd15_resizer.pt sdxl_resizer.ptBreadcrumbs ComfyUi_NNLatentUpscale / sd15_resizer.pt Latest commit Ttl Initial commit...
* TwoSamplersForMaskUpscalerProvider - This is an Upscaler that extends TwoSamplersForMask to be used in Iterative Upscale. * TwoSamplersForMaskUpscalerProviderPipe - pipe version of TwoSamplersForMaskUpscalerProvider. * PreviewBridge - This custom node can be used with a bridge when using the Ma...
⚠ this script will NOT probably work together withhires.fixdue to some inner conceptual/logical conflict ofdenoising_strength, you can alternatively perform batch-upscale then batch-img2img. inputmultiple linesin the prompt/negative-prompt box, each line is called astage ...
SudoLatentUpscale: """ Upscales SD1.5 latent using neural network Currently only working with fp32 and 2x scale """ def __init__(self): self.local_dir = os.path.dirname(os.path.realpath(__file__)) self.path = "models/" self.base_url = "https://github.com/styler00dollar/ComfyUI...
/project/stable-diffusion-webui/repositories/generative-models/configs/inference/sd_xl_base.yamlApplying attention optimization: xformers... done.Model loadedin17.2s (load weights from disk: 2.3s, create model: 0.8s, apply weights to model: 13.3s, applyhalf(): 0.2s, move model to device: ...
else: # preview_method == "Latent2RGB-SDXL" latent_format = latent_formats.SDXL() method = LatentPreviewMethod.Latent2RGB previewer = core.get_previewer("cpu", latent_format=latent_format, force=True, method=method) decoded_pil = previewer.decode_latent_to_preview(latent_tensor) return ...