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: chanel25
widget:
  - text: >-
      chanel25 The image shows a fashion runway setting with a woman walking
      down the catwalk. She is wearing a structured, burgundy button-up coat
      that extends to about knee length. Attached to the lower portion of this
      coat—or forming a skirt beneath it—are layers of delicate, feather-like
      embellishments in soft gray and pale blue tones, giving the garment a
      dynamic, textured look. Her hair is pulled back neatly, and she appears
      poised and focused as she walks. In the background, there is a large, airy
      venue with a high ceiling and white architectural elements, and an
      audience is seated on either side of the runway. The overall impression is
      of an elegant, high-fashion moment.
    output:
      url: images/example_t3h8rl5m9.png

Chanel25

Trained on Replicate using:

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

Trigger words

You should use chanel25 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('veravira/chanel25', 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