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metadata
license: other
license_name: flux1dev
tags:
  - text-to-image
  - diffusers
  - flux
  - flux-diffusers
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: None
widget:
  - text: a monochrome manga of a girl
    output:
      url: assets/girl.png
  - text: a monochrome manga epic sword stance before a insane battle
    output:
      url: assets/swordsman.png
  - text: >-
      a monochrome manga of a shirtless buff scared man sitting below a black
      starry night, looking up, aesthetic shot, laying in a grassy field
    output:
      url: assets/shirtless.png
  - text: a monochrome multi panel manga, masterpiece, best quality
    output:
      url: assets/panel.png
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
Prompt
a monochrome manga of a girl
Prompt
a monochrome manga epic sword stance before a insane battle
Prompt
a monochrome manga of a shirtless buff scared man sitting below a black starry night, looking up, aesthetic shot, laying in a grassy field
Prompt
a monochrome multi panel manga, masterpiece, best quality

Model description

Trained and hand tuned for Monochrome manga panels and art.

a full FLUX-DEV checkpoint rather than just loras because best results were observed using this method.

naturally has consistant characters across panels without requesting it.

14 Plus Loras all 32 rank merged into FLUX-dev base all at variying weights all hand dialed into to acheived dersired aesthetic outcomes.

over 36,000 training steps total.

I also added the indepdant loras to add and mess around with yourself but do not expect the checkpoints quality out of the box with the indepdant loras since it took me a lot of tinkering to get that quality with a mix of the loras.

shoutout to FAL for sponsering me with compute credits and making this possible!

Trigger words

Technically it was not trained with a trigger word but using

monochrome manga

is highly suggested

Use it with the :firecracker: diffusers library

from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained("dataautogpt3/FLUX-MonochromeManga", torch_dtype=torch.bfloat16).to('cuda')
image = pipeline('Monochrome Manga of a girl').images[0]

License

Please adhere to the licensing terms as described here.