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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: 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
---
# 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)
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