Instructions to use Blib-la/blibla_art_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Blib-la/blibla_art_style 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("Blib-la/blibla_art_style") prompt = "hyperrealism illustration of a south east asian Curious 10yo male with Ash blonde hair, person wearing Sweatpants, detailed facial features, at River, upper body pose, highres digital art, 4k resolution, best quality, faded colors" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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