Instructions to use dataautogpt3/FLUX-MonochromeManga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/FLUX-MonochromeManga with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/FLUX-MonochromeManga", dtype=torch.bfloat16, device_map="cuda") prompt = "a monochrome manga of a girl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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@@ -38,6 +38,7 @@ naturally has consistant characters across panels without requesting it.
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over 36,000 training steps total.
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shoutout to [FAL](https://x.com/FAL) for sponsering me with compute credits and making this possible!
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over 36,000 training steps total.
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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.
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shoutout to [FAL](https://x.com/FAL) for sponsering me with compute credits and making this possible!
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