metadata

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
language:
  - en
tags:
  - flux
  - diffusers
  - lora
  - replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: newtext
widget:
  - text: >-
      The man is wearing a black leather jacket with a modern design, paired
      with a dark shirt underneath, and his neck is adorned with a thick, shiny
      gold chain that reflects the light clearly, adding a touch of bold
      elegance to his look. The lighting in the image is striking and bold,
      casting direct light on the lower part of his face while drenching the
      upper half in deep shadow, creating a dramatic contrast between light and
      dark. The bright red background adds a sharp and daring tone to the scene,
      with color effects that heighten the sense of drama and intensity. His
      facial expression appears calm and contemplative, as he gazes off to the
      right, seemingly in thought or reflection. The lighting highlights the
      texture of his skin clearly, with subtle reflections on the surface,
      adding a realistic dimension to the image. The shadows are short and sharp
      due to the direct and focused lighting.
    output:
      url: images/example_w5hq1bhk4.png

Texttophoto

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use newtext to trigger the image generation.

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.float16).to('cuda')
pipeline.load_lora_weights('renoomon/TextTophoto', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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