SDXL-base LoRA tags
Hub tags list stabilityai/stable-diffusion-xl-base-1.0 as base model and adapter, and the model card describes LoRA adaption weights for that base.
Open Source Model Profile · habulaj
1712110283030x380024702146520640 is a text-to-image SDXL LoRA from habulaj. According to the model card, it adapts SDXL-base-1.0 and uses TOK as trigger.
1712110283030x380024702146520640 is published by habulaj as a diffusers text-to-image LoRA. Hub tags list stabilityai/stable-diffusion-xl-base-1.0 as base model and adapter. According to the model card, these are LoRA adaption weights for that SDXL base using TOK as the concept-prompt trigger.
Hub tags list stabilityai/stable-diffusion-xl-base-1.0 as base model and adapter, and the model card describes LoRA adaption weights for that base.
According to the model card, TOK is the concept prompt and you should use this keyword to trigger the custom model.
According to the model card, LoRA for the text encoder was enabled as False and the special VAE used for training was madebyollin/sdxl-vae-fp16-fix.
According to the model card, the publisher shows diffusers loading with the fp16 VAE and a prompt example using TOK with 50 inference steps and lora scale 0.9.
Source: habulaj/1712110283030x380024702146520640
Captured: Unknown. Processed: 2026-09-07T19:34:46.358746+00:00.
LoRA DreamBooth - squaadinc/1712110283030x380024702146520640 These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. The weights were trained on the concept prompt: TOK Use this keyword to trigger your custom model in your prompts. LoRA for the text encoder was enabled: False. Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. Usage Make sure to upgrade diffusers to >= 0.19.0: pip install diffusers --upgrade In addition make sure to install transformers, safetensors, accelerate as well as the invisible watermark: pip install invisible_watermark transformers accele…
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