README.md

metadata

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

Prompt

back of beige conf_be colostomy pouch on the forest floor.

Prompt

front of white conf_be colostomy pouch on an office desk

Prompt

a black conf_be colostomy pouch and a beige conf_be colostomy pouch in an animated style

Prompt

Front of a black conf_be colostomy pouch displayed on a 1960s television system

Prompt

An image of a white conf_be colostomy pouch on a billboard in Times Square in New York City in the evening

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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