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---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: MOST BEATIFUL GIRL IN THE WORLD AFRICAN FINEST
parameters:
negative_prompt: >-
SHE FELL INLOVE WITH THE PRINCE AND THE KING HAD AN AFAIR WITH HER MOTHER
LONG TIME AGE, SO THE KING IS HER FATHER AS WELL AS THE PRINCE
output:
url: >-
images/Default_African_Story_YouTube_page_featuring_a_stunning_illust_1.jpg
base_model: stabilityai/stable-diffusion-3-medium
instance_prompt: MOBOLAJI
license: afl-3.0
---
# MOBOLAJI
<Gallery />
## Model description
from transformers import MOBOLAJI
# Define your dataset and dataloader
# dataset = YourDataset()
# dataloader = DataLoader(dataset, batch_size=32, shuffle=True)
# Define optimizer
optimizer = MOBOLAJI
![Default_African_Story_YouTube_page_featuring_a_stunning_illust_1 (1).jpg](https://cdn-uploads.huggingface.co/production/uploads/667d89fd77b387232c35dd00/wWvz-vkTNWsqtUL7Kdl30.jpeg)
(model.parameters(), lr=5e-5)
# Fine-tuning loop
model.train()
for epoch in range(num_epochs):
for batch in dataloader:
optimizer.zero_grad()
inputs = tokenizer(batch['text'], return_tensors='pt', padding=True, truncation=True)
outputs = model(**inputs)
loss = compute_loss(outputs, batch['labels'])
loss.backward()
optimizer.step()
## Trigger words
You should use `MOBOLAJI` to trigger the image generation.
## Download model
[Download](/adedolllapo/MOBOLAJI/tree/main) them in the Files & versions tab.
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