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
- photorealistic
- woman
- celebrity
- girls
- realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
- text: >-
cgi render of a goth woman with short black hair holding a lightsaber to
her face
output:
url: 33674021.jpeg
- text: cgi render of a woman wearing a firefighter outfit
output:
url: 33673225.jpeg
- text: cgi render of a goth woman with short black hair
output:
url: 33674022.jpeg
- text: ' '
output:
url: 33672851.jpeg
- text: ' '
output:
url: 33673224.jpeg
- text: cgi render of a woman in a dragonball cosplay
output:
url: 33673227.jpeg
- text: cgi render of a woman wearing a hello kitty cosplay
output:
url: 33673604.jpeg
- text: cgi render of a woman wearing a ninja costume
output:
url: 33673608.jpeg
FLUX - Emma Myers
(CivitAI)
Model description
FLUX - Emma Myers
Want a Custom/private LoRA? Get it here : Ko-Fi Commission
Prompts in showcase images
Enjoy!
Leave me a review so it can improve!
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/flux-emma-myers', weight_name='Flux.EmmaMyers-step00000400.safetensors')
image = pipeline('cgi render of a woman wearing a ninja costume').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers