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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: rups
widget:
- text: >-
A photorealistic 3D artwork of a stunning fairy with a black and yellow
theme inspired by bees and sunflowers. The fairy's long, flowing hair in
deep black cascades down her back, intricately resembling the intricate
patterns of a bee's wings. Her eyes, a bright golden yellow, glow intensely
with an otherworldly light, adding a mesmerizing aura to her presence. Her
wings, fragile yet intricately detailed, feature magical patterns that mimic
the bold stripes of a bee, with alternating bands of black and yellow. She
is dressed in a gown made of shimmering, layered fabric that mirrors the
vibrant petals of a sunflower, giving her a regal, striking elegance. The
scene is enveloped in swirling fractal patterns inspired by honeycombs and
sunflower centers, creating a bold, dynamic atmosphere that enhances the
fairy's captivating beauty. The overall composition is rich in contrast and
texture, with a magical, almost surreal quality that brings the fairy and
her surroundings to life in a dramatic interplay of black and yellow.
output:
url: images/example_60hoxjn6v.png
---
# Rupss
<!-- <Gallery /> -->
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `rups` 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('harshasai-dev/rupss', 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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