Instructions to use Polycruz9/nft-microworld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Polycruz9/nft-microworld 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-microworld") prompt = "Microworld NFT, a miniature model of a snow-covered mountain with a red pickup truck parked on the left side of the mountain. The model is set against a stark white backdrop, creating a stark contrast to the scene. The house, adorned with a blue roof, is adorned with snow, adding a festive touch to the composition. The truck, positioned in the middle of the model, is positioned to the right of the house, adding depth to the focal point." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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