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-dev
instance_prompt: mryan
widget:
- text: >-
    photo of a  female,  having a coffee at a diner, short blonde hair,,
    smiling, happy,
  output:
    url: 36676619.jpeg
- text: >-
    color photo, vibrant colours, photo of a  female, standing next to a tree,  
    short blond wavy hair, top gun,, smiling, happy,
  output:
    url: 36676618.jpeg
- text: >-
    color photo, vibrant colours, photo of a  female, walking in New York City ,
    short hair,
  output:
    url: 36676617.jpeg
- text: >-
    Celebrity Meg Ryan age 18, A young movie star, wearing a pilot jacket,
    standing next to an F-15 Jet plane
  output:
    url: images/example_efdmy740s.png
- text: >-
    color photo, vibrant colours, realistic photo of Celebrity Meg Ryan age 18,
    A young movie star, wearing a pilot jacket, standing next to an F-15 Jet
    plane
  output:
    url: images/example_h3h075rb8.png

---

# Meg Ryan 

<Gallery />



([CivitAI](https://civitai.com/models/))

## Model description

<p>Defiantly one of my favourites from the 80's and 90's</p><p></p><p>don't forget to follow me for more!!!</p><p>Niko3DX</p>

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

## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/meg-ryan/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

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/meg-ryan', weight_name='meg-ryan.safetensors')
image = pipeline('color photo, vibrant colours, photo of a  female, walking in New York City , short hair,').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)