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---
base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
library_name: diffusers
license: openrail++
tags:
- text-to-image
- text-to-image
- diffusers-training
- diffusers
- lora
- template:sd-lora
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
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 - NLPBada/base_LoRA_512_512_bs6_step200
<Gallery />
## Model description
These are NLPBada/base_LoRA_512_512_bs6_step200 LoRA adaption weights for OnomaAIResearch/Illustrious-xl-early-release-v0.
The weights were trained using
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
## Trigger words
You should use ""In the style of irasutoya," to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](NLPBada/base_LoRA_512_512_bs6_step200/tree/main) them in the Files & versions tab.
## Intended uses & limitations
#### How to use
```python
#Adjusted guidance_scale + Negative Prompt
width = 1024
height = 1024
num_inference_steps = 60
guidance_scale = 5.5
# prompt = "In the style of irasutoya, 1girl, lightblue collared shirt, smiling with mouth closed, wearing glasses, eyes not visible, furrowed eyebrows, black bobbed parted hair" # @param
prompt = "In the style of irasutoya a boy wearing a darkcyan shirt, smiling with mouth closed, furrowing eyebrows, black pouty hair, upper body" # @param
negative_prompt = "duplicates, worst quality, bad quality, low quality, scan artifacts, jaggy lines, unclear" #@param
image = pipe(prompt, num_inference_steps=num_inference_steps, width=width, height=height, guidance_scale=guidance_scale).images[0]
image
```
#### Limitations and bias
pending
## Training details
pending |