gdivya-nvidia/fun_try

1---2base_model: stabilityai/stable-diffusion-xl-base-1.03library_name: diffusers4license: openrail++5tags:6- text-to-image7- diffusers-training8- diffusers9- lora10- template:sd-lora11- stable-diffusion-xl12- stable-diffusion-xl-diffusers13- text-to-image14- text-to-image15- diffusers-training16- diffusers17- lora18- template:sd-lora19- stable-diffusion-xl20- stable-diffusion-xl-diffusers21instance_prompt: face image22widget:23- text: face image cat24  output:25    url: image_0.png26- text: face image cat27  output:28    url: image_1.png29- text: face image cat30  output:31    url: image_2.png32- text: face image cat33  output:34    url: image_3.png35---36 37<!-- This model card has been generated automatically according to the information the training script had access to. You38should probably proofread and complete it, then remove this comment. -->39 40 41# SDXL LoRA DreamBooth - gdivya-nvidia/fun_try42 43<Gallery />44 45## Model description46 47These are gdivya-nvidia/fun_try LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.48 49The weights were trained  using [DreamBooth](https://dreambooth.github.io/).50 51LoRA for the text encoder was enabled: False.52 53Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.54 55## Trigger words56 57You should use face image to trigger the image generation.58 59## Download model60 61Weights for this model are available in Safetensors format.62 63[Download](gdivya-nvidia/fun_try/tree/main) them in the Files & versions tab.64 65 66 67## Intended uses & limitations68 69#### How to use70 71```python72# TODO: add an example code snippet for running this diffusion pipeline73```74 75#### Limitations and bias76 77[TODO: provide examples of latent issues and potential remediations]78 79## Training details80 81[TODO: describe the data used to train the model]