nuevo / README.md
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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A person in a bustling cafe Nu5V1
output:
url: samples/1759239947646__000002000_0.jpg
- text: ' A young nude woman, with long dark brown hair styled in two thick braids
that fall over her shoulders, brown eyes with a light dusting of freckles,
large gold hoop earrings, and a delicate gold necklace. She is wearing a dark
green three-piece outfit composed of a strapless bandeau top worn high on
the chest, matching string-tie bikini bottoms, and a long, sheer wrap skirt
which she holds open with her hands. Her breasts are exposed, her nipples
are visible, revealing silver barbell-style nipple piercings. A silver navel
piercing is also visible. She is standing and facing the camera directly with
a neutral expression. The background is a simple, modern room with light-colored
walls, a white cabinet, and a grey floor or rug. The lighting is bright and
even from the front, creating a very clear and detailed image. The overall
mood is stylized and direct, resembling a costume or character showcase.
Nu5V1'
output:
url: samples/1759239978568__000002000_1.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Nu5V1
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
---
# nuevo
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `Nu5V1` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](/Joyapeee/nuevo/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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Joyapeee/nuevo', weight_name='nuevo.safetensors')
image = pipeline('A person in a bustling cafe Nu5V1').images[0]
image.save("my_image.png")
```
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)