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: Marty
widget:
  - text: >-
      complex 3d render ultra detailed of a handsome metal android Marty face,
      cyborg, robotic parts, 150 mm, beautiful studio soft light, rim light,
      vibrant details, luxurious cyberpunk, lace, hyperrealistic, anatomical,
      facial muscles, cable electric wires, microchip, elegant, beautiful
      background, octane render, H. R. Giger style, 8k
    output:
      url: images/example_bqxj7de90.png

Martyflux

Trained on Replicate using:

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

Trigger words

You should use Marty 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('MaineMarty/MartyFLUX', 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