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!
1from diffusers import AutoPipelineForText2Image
2import torch
3pipeline = AutoPipelineForText2Image.from_pretrained("dataautogpt3/FLUX-MonochromeManga", torch_dtype=torch.bfloat16).to('cuda')
4image = pipeline('Monochrome Manga of a girl').images[0]
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