Instructions to use Polycruz9/nft-b4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Polycruz9/nft-b4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Polycruz9/nft-b4") prompt = "nft b4, a medium-sized black dogs face is adorned with a yellow plaid hat, a pair of black sunglasses, and a gold chain with a bone-shaped pendant hangs from its neck. The dog's mouth is slightly open, revealing its teeth, and the dogs ears are sticking out of the hat, adding a touch of warmth to the scene. The background is a solid black, creating a stark contrast to the black dog." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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