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
#1
by jayavibhav - opened
- README.md +13 -9
- images/example_tnizfwreg.png +0 -0
README.md
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- template:sd-lora
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- ai-toolkit
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widget:
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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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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# monogatari-style
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- template:sd-lora
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- ai-toolkit
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widget:
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- text: A person in a bustling cafe monogatari style
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output:
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url: samples/1727740519836__000001700_0.jpg
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- text: A girl with purple hair loooking at bluish green sky
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output:
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url: samples/1727740624634__000001700_1.jpg
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- text: A girl with a cap and headphones, smiling at the camera
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output:
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url: samples/1727740729501__000001700_2.jpg
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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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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# monogatari-style
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images/example_tnizfwreg.png
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