---
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
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output:
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57653184.jpeg
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output:
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57653181.jpeg
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output:
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57653187.jpeg
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output:
url: >-
57653180.jpeg
- text: ' '
output:
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57653167.jpeg
- text: ' '
output:
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57653182.jpeg
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output:
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57653192.jpeg
- text: ' '
output:
url: >-
57653178.jpeg
- text: ' '
output:
url: >-
57653173.jpeg
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output:
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57653186.jpeg
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output:
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57653177.jpeg
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output:
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57653179.jpeg
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output:
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57653185.jpeg
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output:
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57653168.jpeg
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output:
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57653175.jpeg
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output:
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57653188.jpeg
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output:
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57653183.jpeg
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output:
url: >-
57653169.jpeg
- text: ' '
output:
url: >-
57653191.jpeg
---
# Emmy Rossum (Shameless) FLUX1.D
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](/Keltezaa/emmy-rossum-shameless-flux1-d/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/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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)