Instructions to use LyliaEngine/plaijful with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/plaijful with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/animij_v20", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/plaijful") prompt = "masterpiece, high_quality, highres, depth_of_field, subject_focus, 8K, absurdres, solo, dynamic_angle, red_neon, backlight, hearts, woman," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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- Xet hash:
- 5dc28c66090eafc870ec0196c05a1654759dded19a346adeb1d38be99483c0b1
- Size of remote file:
- 4.75 MB
- SHA256:
- 238099ed7a84d5bc8b1ed455dc57b69f2c6e87c3e054b0e805f0f62a1f6281fb
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