metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      A person with a pair of Burberry eyeglasses with a brown frame and clear
      lenses on a white background. The glasses have a classic, timeless design
      with the Burberry logo printed on the side. The lenses are tinted and the
      frame is made of a durable material, making them perfect for everyday
      wear. [trigger]
    output:
      url: samples/1728275827655__000001000_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: glasses
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-glasses

Prompt
A person with a pair of Burberry eyeglasses with a brown frame and clear lenses on a white background. The glasses have a classic, timeless design with the Burberry logo printed on the side. The lenses are tinted and the frame is made of a durable material, making them perfect for everyday wear. [trigger]

Trigger words

You should use glasses 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-glasses', weight_name='test-glasses.safetensors')
image = pipeline('A person with a pair of Burberry eyeglasses with a brown frame and clear lenses on a white background. The glasses have a classic, timeless design with the Burberry logo printed on the side. The lenses are tinted and the frame is made of a durable material, making them perfect for everyday wear. [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