Instructions to use LyliaEngine/vividpdxl_v11VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/vividpdxl_v11VAE 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/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/vividpdxl_v11VAE") prompt = "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, Japanese girl, floral kimono, shoulders tattoo, large back tattoo, exposed shoulders, from behind, beautiful face, thick eyelashes, glossy eyes, black hair, cute smile, dark eyeshadow, floral decoration in hair, falling petals, beautifully backlit, wide shot, source_photo, realistic, <lora:glowneon_xl_v1:0.6> <lora:Expressive_H:.8> <lora:43stl1ght1ngXLP2:0.5> 43stl1ght1ng,, volumetric lighting, depth of field, cinematic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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