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: anime 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.
shoutout to FAL for sponsering me with compute credits and making this possible!
Trigger words
No trigger word
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.