PiD INT8
flux1_512_2048_INT8flux1_1024_4096_INT8qwenimage_1024_4096_INT8sdxl_1024_4096_INT8flux2_1024_4096_2606_INT8flux2_1024_4096_INT8flux2_512_2048_INT8
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モデル説明
They are working on a fix for the flux2 PiD models, (flux2_1024_4096_2606)
INT8ConvRot quantizations for PiD decode upscale models
PiD reformulates the latent-to-pixel decoder as a conditional pixel-space diffusion model, unifying decoding and upsampling into a single generative module. It denoises directly in high-resolution pixel space and produces a super-resolved image in one pass. This repository hosts the released decoder checkpoints, plus the encoder/decoder ("VAE") weights they depend on.
BF16 models here https://huggingface.co/Comfy-Org/PixelDiT/tree/main/diffusion_models
Load your INT8 models with this custom node for speedup on RTX 30XX & 20XX series GPU https://github.com/BobJohnson24/ComfyUI-INT8-Fast