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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=RentCivit&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- woman
- celebrity
- tv
- celebrity,
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: woman
widget:
- text: 'woman, blonde, a RAW photo, 16mm film, artistic full color, serene and intimate portrait, subject sits in the center of the frame, subject has perfect posture, they directly face the viewer with their eyes locked onto the camera, they wear a cotton dress shirt, buttoned-up all but the topmost button, wearing a heart necklace which adds a touch of elegance to the overall appearance, soft, blurred background along with the soft lighting create a cozy atmosphere, drawing the viewer''s attention to the subject''s serene expression, the overall effect is one of calm and introspection, inviting the viewer to step into their world, in the background you will find the typical items found in an 18th London sitting room.'
output:
url: >-
37476641.jpeg
- text: 'a woman average height, close-up, perfect body, half smiles, carries a G36 assault rifle that is pointed at the ground, post-apocalyptic, rubble, modest cargo shorts, a loyal mutt sits on the ground wearing a bandana around his neck, vintage graphic design t-shirt'
output:
url: >-
37476759.jpeg
- text: ' woman, blonde, as a doctor, white lab coat, eyeglasses, stethoscope, looking at viewer, hospital environment'
output:
url: >-
37478669.jpeg
---
# Jennifer Morrison
<Gallery />
## Model description
<p>This is my first LoRA in Flux so go easy. :) I think it turned out pretty good.</p>
## Trigger words
You should use `woman` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/jennifer-morrison/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/jennifer-morrison', weight_name='Jennifer_Morrison.safetensors')
image = pipeline(' woman, blonde, as a doctor, white lab coat, eyeglasses, stethoscope, looking at viewer, hospital environment').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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