Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use jefsnacker/azzy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jefsnacker/azzy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jefsnacker/azzy", dtype=torch.bfloat16, device_map="cuda") prompt = "portrait of azzy cat anthro as a dapper bartender with a big, fluffy tail, retro futurism, art deco, detailed, painterly digital art by wlop and cory loftis and delphin enjolras, ๐ฟ๐ธ๐, furaffinity, trending on artstation" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ยท
d4d5120
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Parent(s): eb939b7
Add model to competition
Browse files
README.md
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- stable-diffusion
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- text-to-image
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- diffusion-models-class
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---
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# Dreambooth model of my cat azzy
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#### Model by [jefsnacker](https://huggingface.co/jefsnacker) and [chel-z](https://huggingface.co/chel-z)
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- stable-diffusion
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- text-to-image
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- diffusion-models-class
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- dreambooth-hackathon
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- animal
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- text: portrait of azzy cat anthro as a dapper bartender with a big, fluffy tail, retro futurism, art deco, detailed, painterly digital art by wlop and cory loftis and delphin enjolras, ๐ฟ๐ธ๐, furaffinity, trending on artstation
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---
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# Dreambooth model of my cat azzy
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#### Model by [jefsnacker](https://huggingface.co/jefsnacker) and [chel-z](https://huggingface.co/chel-z)
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