metadata
base_model: stabilityai/stable-diffusion-xl-base-1.0
library_name: diffusers
license: creativeml-openrail-m
tags:
- stable-diffusion
- template:sd-lora
- text-to-image
- diffusers
- diffusers-training
- conan
- lora
widget:
- text: >-
surprised, dark-haired male character in suit; background with dim purple
hue and visible door or entrance.
output:
url: gen_res/prompt1-lora1.png
- text: >-
surprised, dark-haired male character in suit; background with dim purple
hue and visible door or entrance.
output:
url: gen_res/prompt1-lora2.png
- text: >-
surprised, dark-haired male character in suit; background with dim purple
hue and visible door or entrance.
output:
url: gen_res/prompt1-lora3.png
- text: >-
surprised, dark-haired male character in suit; background with dim purple
hue and visible door or entrance.
output:
url: gen_res/prompt1-lora4.png
- text: >-
young woman with dark hair and red top in foreground with man in glasses;
background crowd with outdoor setting; vibrant color palette
output:
url: gen_res/prompt2-lora1.png
- text: >-
young woman with dark hair and red top in foreground with man in glasses;
background crowd with outdoor setting; vibrant color palette
output:
url: gen_res/prompt2-lora2.png
- text: >-
young woman with dark hair and red top in foreground with man in glasses;
background crowd with outdoor setting; vibrant color palette
output:
url: gen_res/prompt2-lora3.png
- text: >-
young woman with dark hair and red top in foreground with man in glasses;
background crowd with outdoor setting; vibrant color palette
output:
url: gen_res/prompt2-lora4.png
inference: true
SDXL-Conan
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt1-lora1.png)
- Prompt
- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance.
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt1-lora2.png)
- Prompt
- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance.
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt1-lora3.png)
- Prompt
- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance.
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt1-lora4.png)
- Prompt
- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance.
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt2-lora1.png)
- Prompt
- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt2-lora2.png)
- Prompt
- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt2-lora3.png)
- Prompt
- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette
![](https://huggingface.co./jugg1024/sdxl-lora-conan/resolve/main/gen_res/prompt2-lora4.png)
- Prompt
- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the jugg1024/conan-gpt4-captions dataset.
LoRA for the text encoder was enabled.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
- currently the text decoder is also add a lora-adapter. So the results may be a little bit overfitting, will be recover soon
Training details
[TODO: describe the data used to train the model]