Instructions to use kviai/Paint-Diffuion-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kviai/Paint-Diffuion-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kviai/Paint-Diffuion-V2") prompt = "darth vader fighting superman, 2 people, lightsaber" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- sdxl
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
widget:
- text: darth vader fighting superman, 2 people, lightsaber
library_name: diffusers
Paint-Diffuion V2
Paint diffusion is fine tune model from stabilityai/stable-diffusion-xl-base-1.0. It generates images like watercolor paintings.