Scn64/KQ

1---2license: openrail++3library_name: diffusers4tags:5- text-to-image6- text-to-image7- diffusers-training8- diffusers9- dora10- template:sd-lora11- stable-diffusion-xl12- stable-diffusion-xl-diffusers13base_model: stabilityai/stable-diffusion-xl-base-1.014instance_prompt: an illustration of KQ15widget: []16---17 18<!-- This model card has been generated automatically according to the information the training script had access to. You19should probably proofread and complete it, then remove this comment. -->20 21 22# SDXL LoRA DreamBooth - Scn64/KQ23 24<Gallery />25 26## Model description27 28These are Scn64/KQ LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.29 30The weights were trained  using [DreamBooth](https://dreambooth.github.io/).31 32LoRA for the text encoder was enabled: False.33 34Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.35 36## Trigger words37 38You should use an illustration of KQ to trigger the image generation.39 40## Download model41 42Weights for this model are available in Safetensors format.43 44[Download](Scn64/KQ/tree/main) them in the Files & versions tab.45 46 47 48## Intended uses & limitations49 50#### How to use51 52```python53# TODO: add an example code snippet for running this diffusion pipeline54```55 56#### Limitations and bias57 58[TODO: provide examples of latent issues and potential remediations]59 60## Training details61 62[TODO: describe the data used to train the model]