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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=1&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- retro
- 1980s
- actress
- celebrity
- juliannejames
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: JulianneJames
widget:
- text: ' '
output:
url: >-
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- text: ' '
output:
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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---
# Julianne James
<Gallery />
## Model description
<p>This model is made based off of the Adult actress JulianneJames.</p><p> Recommend just keeping the LoRa weight at [.8 to 1] </p><p>Going above this tends to have the model lean into a handful of the pictures in the data set too heavily for some reason and the hair tends to get very colorful.</p><p></p><p>experiment to your hearts content.</p><p>All of the example photos are created using my own custom models. You can find some here on civitAI including <a target="_blank" rel="ugc" href="https://civitai.com/models/288870/protodarkglow">darkglow </a>and some are on my hugging face account. Some of those models are specifically made for the DiffusionBee file format Specifically.</p>
## Trigger words
You should use `JulianneJames` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/brushpenbob/julianne-james/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
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/julianne-james', weight_name='JulianneJames.safetensors')
image = pipeline('`JulianneJames`').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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