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pacogarat/yo
yo is a text-to-image model from pacogarat. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
Downloads · 30 days
5
29% of all-time downloads
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.safetensors576 MB · 59%
From the Hugging Face model README
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Use the token paco to invoke the concept.

"A cinematic shot of a futuristic cybernetic cat named paco lounging on a neon-lit skyscraper ledge overlooking a rainy Tokyo cityscape."

"A whimsical oil painting of a tiny mouse called paco wearing a royal crown and sitting upon a throne made of a single golden walnut."

"A hyper-realistic macro photo of a weathered sailor named paco with a salt-and-pepper beard, staring into a storming Atlantic ocean."
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("pacogarat/yo")
image = pipe("A cinematic shot of a futuristic cybernetic cat named paco lounging on a neon-lit skyscraper ledge overlooking a rainy Tokyo cityscape.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")