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: >-
      Create an extremely photorealistic and surreal steampunk-inspired poster
      with a bold and striking vibrant maroon and cream color scheme. Center a
      twisted male automaton with a maroon hue, featuring intricate
      cream-colored gears and detailed copper accents. The automaton's face is
      frozen in a scream of agony, eyes wide and mouth open, conveying eternal
      suffering. Use realistic metal textures with reflective surfaces and
      precise mechanical details. Position the automaton against a rich maroon
      background with subtle gradients and soft lighting that casts dramatic
      shadows. Incorporate steam and subtle gear motifs in the background to
      enhance the steampunk aesthetic. Ensure high contrast between maroon and
      cream elements, highlighting the emotional expression and mechanical
      complexity of the automaton.
    output:
      url: images/example_apa1gddo5.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