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
- sexy
- model
- shameless
- woman
- actress
- celebrity
- movies
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Erossum3
widget:
- text: ' '
output:
url: 57653171.jpeg
- text: ' '
output:
url: 57653184.jpeg
- text: ' '
output:
url: 57653181.jpeg
- text: ' '
output:
url: 57653187.jpeg
- text: ' '
output:
url: 57653180.jpeg
- text: ' '
output:
url: 57653167.jpeg
- text: ' '
output:
url: 57653182.jpeg
- text: ' '
output:
url: 57653192.jpeg
- text: ' '
output:
url: 57653178.jpeg
- text: ' '
output:
url: 57653173.jpeg
- text: ' '
output:
url: 57653186.jpeg
- text: ' '
output:
url: 57653177.jpeg
- text: ' '
output:
url: 57653179.jpeg
- text: ' '
output:
url: 57653185.jpeg
- text: ' '
output:
url: 57653168.jpeg
- text: ' '
output:
url: 57653175.jpeg
- text: ' '
output:
url: 57653188.jpeg
- text: ' '
output:
url: 57653183.jpeg
- text: ' '
output:
url: 57653169.jpeg
- text: ' '
output:
url: 57653191.jpeg
Emmy Rossum (Shameless) FLUX1.D
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Model description
A Flux LoRA Created with FluxGym to create Images in the likeness of Emmy Rossum
Trigger words
You should use Erossum3
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/emmy-rossum-shameless-flux1-d', weight_name='err00ssvm3.safetensors')
image = pipeline('`Erossum3`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers