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---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: 'Smile emoji, 4k'
output:
url: images/12.png
- text: 'Love emoji, 4k'
output:
url: images/13.png
- text: 'Cry emoji, 4k'
output:
url: images/14.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: emoji
license: creativeml-openrail-m
---
# Berenices-Mini-Emoji
<Gallery />
Berenices-Mini-Emoji-LoRA
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat | 27 |
| Epoch | 15 | Save Every N Epochs | 1 |
for better results use it with the base model /others
## SETTING-UP
```py
pipe = StableDiffusionXLPipeline.from_pretrained(
"-------------xxxxxxxxx----------",
torch_dtype=torch.float16,
use_safetensors=True,
)
(or)
-----------------------------------------------------------
pipe = StableDiffusionXLPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16,
use_safetensors=True,
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.load_lora_weights("prithivMLmods/Berenices-Mini-Emoji-LoRA", weight_name=emojies.safetensors", adapter_name="emoji")
pipe.set_adapters("emoji")
pipe.to("cuda")
```
## Trigger prompts
Smile emoji, 4k
Cry emoji, 4k
Love emoji, 4k
| Parameter | Value |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt | Smile emoji, 4k|
| Sampler | euler
## Trigger words
You should use `emoji` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Berenices-Mini-Emoji-LoRA/tree/main) them in the Files & versions tab.