Instructions to use pacogarat/paco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pacogarat/paco with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pacogarat/paco") prompt = "A cinematic close-up of a majestic golden retriever named paco wearing a tiny astronaut helmet, floating weightlessly inside a futuristic neon-lit space station." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ pacogarat/paco

- Prompt
- A cinematic close-up of a majestic golden retriever named paco wearing a tiny astronaut helmet, floating weightlessly inside a futuristic neon-lit space station.

- Prompt
- A moody, oil-painting style portrait of paco, a weathered old sailor, smoking a pipe on a stormy pier with crashing turquoise waves in the background.

- Prompt
- A hyper-realistic macro shot of paco, a tiny iridescent mechanical beetle, crawling across a dew-covered circuit board in a lush cybernetic jungle.
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).
Trigger
Use the token paco to invoke the concept.
Samples
"A cinematic close-up of a majestic golden retriever named paco wearing a tiny astronaut helmet, floating weightlessly inside a futuristic neon-lit space station."
"A moody, oil-painting style portrait of paco, a weathered old sailor, smoking a pipe on a stormy pier with crashing turquoise waves in the background."
"A hyper-realistic macro shot of paco, a tiny iridescent mechanical beetle, crawling across a dew-covered circuit board in a lush cybernetic jungle."
Use it with diffusers
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/paco")
image = pipe("A cinematic close-up of a majestic golden retriever named paco wearing a tiny astronaut helmet, floating weightlessly inside a futuristic neon-lit space station.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
- Downloads last month
- 5
Model tree for pacogarat/paco
Base model
krea/Krea-2-Raw

