Instructions to use Kvikontent/Parcifique with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kvikontent/Parcifique with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kvikontent/Parcifique") prompt = "A beautiful photo of a realistic eye" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: A beautiful photo of a realistic eye
output:
url: images/photo_387@09-03-2023_19-06-16 — копия.jpg
- text: Beautiufl woman with white hairs
output:
url: images/photo_385@09-03-2023_15-43-46_thumb.jpg
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
license: apache-2.0
Parcifique

- Prompt
- A beautiful photo of a realistic eye

- Prompt
- Beautiufl woman with white hairs
Model description
Parcifique is an AI, whick is Peaceful Artistic Creative Inovative Fusion Interconnected Quantization Unique Equilibrium Trained on a lot of Dall-e 3 images from ehristoforu/dalle-3-images
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.