Instructions to use jayavibhav/monogatari-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jayavibhav/monogatari-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jayavibhav/monogatari-style") prompt = "A person in a bustling cafe monogatari style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example (#2)
Browse files- Add generated example (a4f18d13860f7517a555e63b5a241d7bb022ce68)
- README.md +5 -0
- images/example_5mbrwcv0a.png +0 -0
README.md
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- text: a girl with purple hair, portrait, background elements, monogatari style
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output:
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url: images/example_tnizfwreg.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: monogatari style
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license: other
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- text: a girl with purple hair, portrait, background elements, monogatari style
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output:
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url: images/example_tnizfwreg.png
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- text: >-
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girl with yellow hair looking at the moon, railway crossing in the
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background, with traffic lights, highly detailed backgroundmonogatari style
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output:
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url: images/example_5mbrwcv0a.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: monogatari style
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license: other
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images/example_5mbrwcv0a.png
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