---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: back of beige conf_be colostomy pouch on the forest floor.
    output:
        url: samples/1729093668706__000002000_0.jpg
-   text: front of white conf_be colostomy pouch on an office desk
    output:
        url: samples/1729093705280__000002000_1.jpg
-   text: a black conf_be colostomy pouch and a beige conf_be colostomy pouch in an
        animated style
    output:
        url: samples/1729093741858__000002000_2.jpg
-   text: Front of a black conf_be colostomy pouch displayed on a 1960s television
        system
    output:
        url: samples/1729093778420__000002000_3.jpg
-   text: An image of a white conf_be colostomy pouch on a billboard in Times Square
        in New York City in the evening
    output:
        url: samples/1729093815010__000002000_4.jpg
base_model: black-forest-labs/FLUX.1-dev

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
---

# confidence_be_closed_front
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

Trigger word is "conf_be colostomy pouch"

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/salts-models/confidence-be-closed-front/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('salts-models/confidence-be-closed-front', weight_name='confidence_be_closed_front.safetensors')
image = pipeline('back of beige conf_be colostomy pouch on the forest floor.').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)