Instructions to use XaflocAI/marionevado with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XaflocAI/marionevado with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/edgeOfRealism_eorV20Fp16BakedVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("XaflocAI/marionevado") prompt = "female, portrait, long red hair, human thoughts, elegant, intricate, crisp quality, ultra-detailed, dreamy female portrait on black canvas, closed eyes, masterpiece, expert, insanely detailed, 4k resolution,high quality, best quality, vivid, detailed background, digital art, ethereal, dreaming, cosmic light, very sharp focus, Hyper detailed, Hyper realistic, spiritual, surreal, atmospheric, High resolution, High contrast, dark angle, 8k <lora:marionevado_v2_lora:1> marionevado_v2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K