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---
base_model: SG161222/RealVisXL_V4.0
library_name: diffusers
license: openrail++
tags:
- text-to-image
- text-to-image
- diffusers-training
- diffusers
- dora
- template:sd-lora
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
instance_prompt: 'TOK_sks_hastin_ring, '
widget: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - agrajpaudel/realvis_resolution_256_3_ringtest_10_images_e-3
<Gallery />
## Model description
These are agrajpaudel/realvis_resolution_256_3_ringtest_10_images_e-3 LoRA adaption weights for SG161222/RealVisXL_V4.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
## Trigger words
You should use TOK_sks_hastin_ring, to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](agrajpaudel/realvis_resolution_256_3_ringtest_10_images_e-3/tree/main) them in the Files & versions tab.
## Intended uses & limitations
#### How to use
```python
# TODO: add an example code snippet for running this diffusion pipeline
```
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Training details
[TODO: describe the data used to train the model] |