README.md

metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      a woman wearing a white shirt and black leggings, standing on a set of
      stairs with a black Chanel bag in her hand. The background of the image is
      a building. [trigger]
    output:
      url: samples/1728266939949__000001000_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: handbag
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

test-bag4

Model trained with AI Toolkit by Ostris

Prompt

a woman wearing a white shirt and black leggings, standing on a set of stairs with a black Chanel bag in her hand. The background of the image is a building. [trigger]

Trigger words

You should use handbag 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('seawolf2357/test-bag4', weight_name='test-bag4.safetensors')
image = pipeline('a woman wearing a white shirt and black leggings, standing on a set of stairs with a black Chanel bag in her hand. The background of the image is a building. [trigger]').images[0]
image.save("my_image.png")

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