confidence_be_closed_front
Model trained with AI Toolkit by Ostris
![](https://huggingface.co/salts-models/confidence-be-closed-front/resolve/main/samples/1729093668706__000002000_0.jpg)
- Prompt
- back of beige conf_be colostomy pouch on the forest floor.
![](https://huggingface.co/salts-models/confidence-be-closed-front/resolve/main/samples/1729093705280__000002000_1.jpg)
- Prompt
- front of white conf_be colostomy pouch on an office desk
![](https://huggingface.co/salts-models/confidence-be-closed-front/resolve/main/samples/1729093741858__000002000_2.jpg)
- Prompt
- a black conf_be colostomy pouch and a beige conf_be colostomy pouch in an animated style
![](https://huggingface.co/salts-models/confidence-be-closed-front/resolve/main/samples/1729093778420__000002000_3.jpg)
- Prompt
- Front of a black conf_be colostomy pouch displayed on a 1960s television system
![](https://huggingface.co/salts-models/confidence-be-closed-front/resolve/main/samples/1729093815010__000002000_4.jpg)
- 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
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Model tree for salts-models/confidence-be-closed-front
Base model
black-forest-labs/FLUX.1-dev