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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: SU1JS0FT
widget:
- text: >-
SU1JS0FT, Elegant young woman, light-skinned, with long blonde hair, seated
in a winter forest. A delicate flower crown adorns her flowing blonde
locks. She wears a form-fitting, off-the-shoulder, corset-style white gown
embellished with delicate lace and glittering details. The gown’s
voluminous skirt cascades around her, showcasing its soft, flowing texture.
She wears sheer, light-colored stockings. Her expression is serene and
wistful. The snow-covered forest floor is the backdrop for the scene.
Tall, snow-laden trees surround her, creating a serene winter wonderland.
Luminous soft light bathes the scene, enhancing realistic depiction of
delicate snowflakes and frost-covered branches. The setting evokes a
dreamlike, fairytale atmosphere. Detail-oriented, photorealistic style;
detailed illumination; soft lighting. Digital painting. by style SU1JS0FT
output:
url: images/example_a5dik3pgo.png
---
# Su1Js0Ft
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `SU1JS0FT` 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/SU1JS0FT', 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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