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---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: U05FU1hB
widget:
- text: >-
U05FU1hB A young, female elf, with striking, bright blue eyes and long,
flowing, platinum white hair. She wears a detailed, dark blue bodysuit,
accented with intricate, metallic dark gray/black designs and studded with
shimmering blue gems. The outfit features ornate arm guards/sleeves. The
overall style is a blend of fantasy and modern fashion. Her expression is
serene and focused, conveying a sense of quiet power. Her body is poised in
a seated posture, with her hands gently clasped. The lighting highlights her
features, creating a dramatic contrast and a mood of both mystery and
elegance. The background is a deep, dark blue, with subtle hints of light,
and ethereal touches suggestive of fantasy. Fine details add to the
character's aesthetic and the atmosphere. The scene's perspective is
close-up, focusing on the character's exquisite details. The style is
highly detailed, evocative, with a polished aesthetic, suggestive of anime
hyperrealism, and a blend of digital painting and anatomical accuracy.
Detailed anatomical proportions are visible. in the style of U05FU1hB
output:
url: images/example_5foiu5ecg.png
---
# U05Fu1Hb
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `U05FU1hB` to trigger the image generation.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('emrodriguezx/U05FU1hB', weight_name='lora.safetensors')
image = pipeline('your prompt').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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