README.md

metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      a man standing in a black coat and hat, with a pair of goggles in his
      hand. The background is dark, creating a stark contrast between the man
      and his surroundings. [trigger]
    output:
      url: samples/d1148ea9-dd77-4fd7-930b-8cf8afff554e.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: hat
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-hat

Prompt

a man standing in a black coat and hat, with a pair of goggles in his hand. The background is dark, creating a stark contrast between the man and his surroundings. [trigger]

Trigger words

You should use hat 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-hat', weight_name='test-hat.safetensors')
image = pipeline('a man standing in a black coat and hat, with a pair of goggles in his hand. The background is dark, creating a stark contrast between the man and his surroundings. [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