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AI 모델 298
“Stable Diffusion API”
stable-diffusion-v1-5
stable-diffusion-3.5-large-controlnet-blur
control_v11p_sd15_softedge
**Controlnet v1.1** is the successor model of Controlnet v1.0 and was released in lllyasviel/ControlNet-v1-1 by Lvmin Zhang. This checkpoint is a conversion of the original checkpoint into `diffusers` format. It can be used in combination with **Stable Diffusion**, such as runwayml/stable-diffusion-v1-5. @misc{zhang2023adding, title={Adding Conditional Control to Text-to-Image Diffusion Models}, author={Lvmin Zhang and Maneesh Agrawala}, year={2023}, eprint={2302.05543}, archivePrefix={arXiv}, primaryClass={cs.CV} }
Qwen-Image-2.1-Anime-Fusal-GGUF
**Built with Qwen.** This repository packages a tested LocalAI and stable-diffusion.cpp runtime for MicksHF/Qwen-Image-2.1-Anime-Fusal. It is a multi-file runtime assembly, not a merged checkpoint. The source model includes NSFW training material and is not for all audiences. This repository grants no rights to third-party artwork, characters, trademarks, datasets, or generated outputs. Users are responsible for lawful and responsible use. The text encoder does not include vision weights. This package supports text-to-image. It does not support reference-image editing without a compatible Qwen3-VL vision projector or combined encoder.
LCM_Dreamshaper_v7
Official Repository of the paper: *Latent Consistency Models*. Distilled from Dreamshaper v7 fine-tune of Stable-Diffusion v1-5 with only 4,000 training iterations (~32 A100 GPU Hours). By distilling classifier-free guidance into the model's input, LCM can generate high-quality images in very short inference time. We compare the inference time at the setting of 768 x 768 resolution, CFG scale w=8, batchsize=4, using a A800 GPU.
AAM_XL_AnimeMix
`Lykon/AAM_XL_AnimeMix` is a Stable Diffusion model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0.
sdxl-vae-fp16-fix
SDXL-VAE-FP16-Fix is the SDXL VAE*, but modified to run in fp16 precision without generating NaNs. 1. Download the fixed sdxl.vae.safetensors file 2. Move this `sdxl.vae.safetensors` file into the webui folder under `stable-diffusion-webui/models/VAE` 3. In your webui settings, select the fixed VAE you just added 4. If you were using the `--no-half-vae` command line arg for SDXL (in `webui-user.bat` or wherever), you can now remove it (Disclaimer - I haven't tested this, just aggregating various instructions I've seen elsewhere :P PRs to improve these instructions are welcomed!)