README.md

metadata

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

Prompt

MOST BEATIFUL GIRL IN THE WORLD AFRICAN FINEST

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

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 (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 them in the Files & versions tab.