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CyberRealisticXL-GGUF

InsecureErasure

This repository contains the extracted components and GGUF quantizations of CyberRealistic XL v10.0 by Cyberdelia, intended for use with ComfyUI-GGUF. The scripts and workflows used to generate these files are documented in https://github.com/insecure-erasure/safetensors-goodies. The following table shows the difference between some of the K-quants available with `llama-quantize` from llama.cpp using city96's diffusion model patch.

Image generation
Input Text→ Output Image
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This is a **partial NVFP4 quantization** of Wan2.2-I2V-A14B-Moe-Distill-Lightx2v by lightx2v, produced using convert_to_quant by silveroxides. Wan2.2-I2V-A14B-Moe-Distill-Lightx2v is an image-to-video generation model built on Wan2.2-I2V-A14B. It applies step distillation and classifier-free guidance distillation to reduce inference to **4 steps** without CFG, cutting generation time substantially while preserving output quality. Since NVFP4 is only supported on NVIDIA Blackwell architecture GPUs, running this model requires a Blackwell GPU with its corresponding support enabled in torch, along with a recent version of ComfyUI and comfy-kitchen built against CUDA 13.

Video generation
Input Image→ Output Video
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Adjust monthly token usage to compare estimated API costs.

1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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