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
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README.md
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base_model: stabilityai/stable-diffusion-
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pipeline_tag: text-to-image
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trained_dataset: custom-dataset
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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pipeline_tag: text-to-image
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trained_dataset: custom-dataset
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