--- base_model: - John6666/wai-nsfw-illustrious-v110-sdxl tags: - not-for-all-audiences --- # WAI-NSFW-illustrious-SDXL V11.0 GGUF CONVERTED AND QUANTIZED [Original Model](https://civitai.com/models/827184?modelVersionId=1410435). All credits to its [creator](https://civitai.com/user/WAI0731) ## VERY IMPORTANT This model was converted for COMFYUI-GGUF usage. Workability in other backends is not guaranteed! Also you need [illustrious_clip_g_fp8_e4m3fn.safetensors](https://huggingface.co/calcuis/illustrious/blob/main/illustrious_clip_g_fp8_e4m3fn.safetensors), [illustrious_clip_l_fp8_e4m3fn.safetensors](https://huggingface.co/calcuis/illustrious/blob/main/illustrious_clip_l_fp8_e4m3fn.safetensors) text encoders and [illustrious_v110_vae_fp8_e4m3fn.safetensors](https://huggingface.co/calcuis/illustrious/blob/main/illustrious_v110_vae_fp8_e4m3fn.safetensors) VAE Another encoders and vae may not work! # UPD: Wai's VAE giving slightly better results: [LINK](https://huggingface.co/John6666/wai-nsfw-illustrious-v110-sdxl/blob/main/vae/diffusion_pytorch_model.safetensors). Use it instead of illustrious VAE ### INSTALL Drop gguf model to models/diffusion_models folder clip_g and clip_l to models/text_encoders folder vae to models/vae folder You can use gguf custom nodes from calcuis or from city96, theres no difference Load gguf model via GGUF LOADER (calcuis) or Unet Loader (city96) node Load text encoders via GGUF DualCLIPLoader (calcuis) or DualCLIPLoader (city96) node Load vae via default Load VAE node You can get KSampler settings from [Original Model Card](https://civitai.com/models/827184?modelVersionId=1410435) ### Addional info Less bits - less VRAM usage, less Storage usage, slower inference, loss in details and quality illustrious LoRA models works just fine ### Comparsion I am not sure about ability to reproduce same result in sdxl models, but seems like Q4_0 not that bad as i thought, absolutely usable You can use these images to setup comfyui workflow | FP16 | Q8_0 | Q5_K_S | Q4_0 | | ------------- | ------------- | ------------- | ------------- | |  |  |  |  | |  |  |  |  |
