Instructions to use Archeological/misa_amanefull with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Archeological/misa_amanefull with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Archeological/misa_amanefull") prompt = "1girl, portrait of Misa Amane, (Misa Amane:1.6), death note, Modern Anime, adult female, From Death Note anime, best quality, 8K, DSLR quality, Bloom Lighting, Good Face, Beautiful Face, Slim, highly detailed, glow, extreme details, fog, smoke, blond hair, happy, smile, perfect eyes, <lora:perfect-eyes:1>, perfecteyes, eyes reflection, detailed eyes, upper body, hdr quality, full of color, smoke, cinematic, night, moon light, 2010s, windy, hair swaying in wind, purple nail polish, nigh time, blue eyes, grainy, chromatic aberration, dark blue atmosphere, black night, adult woman, Depth of field effect, uwu, cute, blush, perfecteyes, eyes reflection, detailed eyes, upper body, shy smile, hdr quality, hands doing cute pose, full of color, smoke, cinematic, <lora:misa_amane-step00000050:1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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