README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- celebrity

base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: TNTCN
widget:
- text: ' '
  
  output:
    url: >-
      25652399.jpeg
- text: ' '
  
  output:
    url: >-
      25652402.jpeg
- text: ' '
  
  output:
    url: >-
      25652400.jpeg
- text: ' '
  
  output:
    url: >-
      25652398.jpeg
- text: ' '
  
  output:
    url: >-
      25652404.jpeg

---

## Model description

<p>Aitana Ocaña.</p><p>Just describe the scene. If it doesn't work, mention her as AitanaOcana.</p><p>The trigger word is supposed to be TNTCN, but it isn't necessary.</p><p>Please leave some Buzz and like the model if you want me to keep doing LORAs ♥.</p><p>Add some images and give me feedback so I can do better things ^^.</p>

## Trigger words
You should use `TNTCN` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/RedSparkie/aitana-ocana/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('RedSparkie/aitana-ocana', weight_name='aitana.safetensors')
image = pipeline('`TNTCN`').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)