Instructions to use MidnightRunner/MIDNIGHT_NAI-XL_vPredV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MidnightRunner/MIDNIGHT_NAI-XL_vPredV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MidnightRunner/MIDNIGHT_NAI-XL_vPredV2", dtype=torch.bfloat16, device_map="cuda") prompt = "(high quality), (masterpiece), (detailed), photorealistic, cinematic, film grain, very awa, (beksinski:1.3)1girl, solo, voluminous, long hair, looking at viewer, semi-realistic, newest (2023), seductive expression, piercing gaze, open mouth, sitting, blurry background, pale skin, platinum white hair, busy background, dress, bow, ribbon, jewelry, bare shoulders, upper body, sleeveless, pointy ears, hand up, white dress, bracelet, medium breasts, sleeveless dress, skindentation, see-through clothes, silt eyes, black sclera, fangs, red bow, armlet, gold, red ribbon, vampire, dress bow, oshino shinobu, black choker, lips, looking at viewer, open mouth, ring, smile, smilingwide, teeth, prehensile tail, holding with tail, tail gripping whiskey jug, whiskey text label \"jack daniels\", jack daniels logo, tail gripping, sharp teeth" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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