Text-to-Image
Diffusers
lora
template:diffusion-lora
bobina
Bobina
Council
Ethereum
Base
bobina.moe
Bobina_Council
Instructions to use bobinamoe/bobinas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bobinamoe/bobinas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bobinamoe/bobinas") prompt = "Bobina in the trenches of Ukraine, she is holding a classic AK47. She is firing in the trenches at an unknown Ukrainian pig for Mother Russia! The rifle is visibly inscribed bobina.moe on the gun stock." 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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- Bobina_Council
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widget:
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- output:
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url: images/Trencher Bobina.
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text: >-
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Bobina in the trenches of Ukraine, she is holding a classic AK47. She is
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firing in the trenches at an unknown Ukrainian pig for Mother Russia! The
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- Bobina_Council
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widget:
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- output:
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url: images/Trencher Bobina.png
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text: >-
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Bobina in the trenches of Ukraine, she is holding a classic AK47. She is
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firing in the trenches at an unknown Ukrainian pig for Mother Russia! The
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