README.md

metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      [trigger] woman playing chess at the park, bomb going off in the
      background
    output:
      url: samples/1745203118117__000005000_0.jpg
  - text: '[trigger] a woman holding a coffee cup, in a beanie, sitting at a cafe'
    output:
      url: samples/1745203133977__000005000_1.jpg
  - text: '[trigger] a woman holding a sign that says, ''Stoke LoRA'''
    output:
      url: samples/1745203149840__000005000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: PR171P473L
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

Priti-Patel_v01_F1D

Model trained with AI Toolkit by Ostris

Prompt

[trigger] woman playing chess at the park, bomb going off in the background

Prompt

[trigger] a woman holding a coffee cup, in a beanie, sitting at a cafe

Prompt

[trigger] a woman holding a sign that says, 'Stoke LoRA'

Trigger words

You should use PR171P473L 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('stokemctoke/Priti-Patel_v01_F1D', weight_name='Priti-Patel_v01_F1D.safetensors')
image = pipeline('[trigger] woman playing chess at the park, bomb going off in the background').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers