Create README.md

README.md

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+---
+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-dev
+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
+---
+# Aitana Ocaña 
+
+<Gallery />
+
+
+
+
+
+## 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)
+