Instructions to use alvdansen/colorized-blockprints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alvdansen/colorized-blockprints 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("alvdansen/colorized-blockprints") prompt = "A teenage girl with braids and freckles, wearing a colorful t-shirt and overalls, riding a bicycle through a sunny park with a basket of flowers on the handlebars" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
can you provide example code to run this model?
#1
by reasearcheasy - opened
can you provide example code to run this model
nevermind! i found the code.
from diffusers import AutoPipelineForText2Image
pipeline = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
pipeline.load_lora_weights("alvdansen/colorized-blockprints", weight_name='araminta_k_colorized_blockprint.safetensors')
images = pipeline(prompt="cat").images[0]
images.save('outim.png')