metadata

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

Meg Ryan

Prompt
photo of a female, having a coffee at a diner, short blonde hair,, smiling, happy,

Prompt
color photo, vibrant colours, photo of a female, standing next to a tree, short blond wavy hair, top gun,, smiling, happy,

Prompt
color photo, vibrant colours, photo of a female, walking in New York City , short hair,

Prompt
Celebrity Meg Ryan age 18, A young movie star, wearing a pilot jacket, standing next to an F-15 Jet plane

Prompt
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

(CivitAI)

Model description

Defiantly one of my favourites from the 80's and 90's

don't forget to follow me for more!!!

Niko3DX

Trigger words

You should use mryan to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

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