Instructions to use Nightowl00/Shad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nightowl00/Shad with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lvladikov/Krea2-Turbo-Distill-4step-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Nightowl00/Shad") prompt = "nsfw, digital art, three women, lying on their backs, arms tied above their heads, spread legs, detailed genitals, large breasts, wide hips, blonde woman in the middle with shocked expression, purple-haired woman on the left with serious expression, red-haired woman on the right with excited expression, all nude, water droplets on their bodies, dark purple background, metal drain in the center, artificial lighting, medium close-up, eye-level angle, no depth of field, high detail, exaggerated proportions, focus on the women, no watermark, no artist signature, medium wide shot, characters' ages not specified, all characters have visible nipples and labia, explicit content, no clothing, no accessories, no other objects in the background." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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