metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: patton playing volleyball
output:
url: samples/1731545773184__000002000_0.jpg
- text: patton wearing glasses in a squatting position
output:
url: samples/1731545804448__000002000_1.jpg
- text: patton, full smile, wearing sexy lingerie
output:
url: samples/1731545835675__000002000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: patton
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
candice-patton
Model trained with AI Toolkit by Ostris

- Prompt
- patton playing volleyball

- Prompt
- patton wearing glasses in a squatting position

- Prompt
- patton, full smile, wearing sexy lingerie
Trigger words
You should use patton
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 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('TonyBaloney/candice-patton', weight_name='candice-patton.safetensors')
image = pipeline('patton playing volleyball').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers