Instructions to use papitreasure/pinterest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use papitreasure/pinterest 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("papitreasure/pinterest") prompt = "Three women stand side by side on a stone staircase. The woman on the left wears a pink one-shoulder dress and rests her hand on her hip. The middle woman wears a tan dress with a knot at the waist, and the woman on the right wears a white sleeveless dress. A stone railing and greenery are behind them, with a body of water and distant boats in the background, cute girl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ papitreasure/pinterest

- Prompt
- Three women stand side by side on a stone staircase. The woman on the left wears a pink one-shoulder dress and rests her hand on her hip. The middle woman wears a tan dress with a knot at the waist, and the woman on the right wears a white sleeveless dress. A stone railing and greenery are behind them, with a body of water and distant boats in the background, cute girl
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 phrase cute girl to invoke the concept.
Samples
"Three women stand side by side on a stone staircase. The woman on the left wears a pink one-shoulder dress and rests her hand on her hip. The middle woman wears a tan dress with a knot at the waist, and the woman on the right wears a white sleeveless dress. A stone railing and greenery are behind them, with a body of water and distant boats in the background, cute girl"
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("papitreasure/pinterest")
image = pipe("Three women stand side by side on a stone staircase. The woman on the left wears a pink one-shoulder dress and rests her hand on her hip. The middle woman wears a tan dress with a knot at the waist, and the woman on the right wears a white sleeveless dress. A stone railing and greenery are behind them, with a body of water and distant boats in the background, cute girl", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for papitreasure/pinterest
Base model
krea/Krea-2-Raw