Instructions to use Polycruz9/nft-experimental-beta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Polycruz9/nft-experimental-beta1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Polycruz9/nft-experimental-beta1") prompt = "NFT 3D Avatar, Create a high-quality 3D rendering of an NFT avatar featuring a chimpanzees face as the focal point. The chimpanzee should have a rugged yet stylish appearance, with detailed fur texture and expressive facial features. Adorn the chimpanzee with sleek, black sunglasses that have a slight reflective sheen, giving a cool and modern vibe. Around its neck, place a chunky gold chain necklace, intricately designed with visible links that catch the light, adding a touch of luxury. " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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