Instructions to use anastarsy/john_bauer_style_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anastarsy/john_bauer_style_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("anastarsy/john_bauer_style_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL LoRA DreamBooth - anastarsy/john_bauer_style_lora
The base model used was: stabilityai/stable-diffusion-xl-base-1.0.
Whether the text encoder was trained: False.
The instance prompt used was: illustration in the style of John Bauer.
The validation prompt used was: None.
This model was trained using the text-to-image DreamBooth training script.
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