Instructions to use Matb09/alexander-smith with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matb09/alexander-smith 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("Matb09/alexander-smith") prompt = "a pair of alexander smith shoes" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5fd1f54e1ec4bdc8a8d21bf2bfa4835396cdace66cc1ab9a40a75cc72cd0a3b8
- Size of remote file:
- 173 MB
- SHA256:
- df970c6fad2a5e3cf3f3f2af7233735f1db309915b1f9e02a2324c32f17d506c
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