Instructions to use Danielbrdz/Stable-Barcenas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danielbrdz/Stable-Barcenas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Danielbrdz/Stable-Barcenas", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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license: creativeml-openrail-m
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Stable Barcenas is a text-based image generation model that utilizes Stable Diffusion technology with fine-tuning. With Stable Barcenas, you can generate satirical, humorous, or any kind of images. Stable Barcenas is open-source and can be run on regular GPUs
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license: creativeml-openrail-m
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Stable Barcenas is a text-based image generation model that utilizes Stable Diffusion technology with fine-tuning. With Stable Barcenas, you can generate satirical, humorous, or any kind of images. Stable Barcenas is open-source and can be run on regular GPUs
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Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
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