Instructions to use soiz1/shirakami-hubuki-diffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use soiz1/shirakami-hubuki-diffusion2 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("soiz1/shirakami-hubuki-diffusion2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
language:
- en
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
- lora
base_model: stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: text-to-image
trained_dataset: custom-dataset