Instructions to use WALIDALI/bekclothes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WALIDALI/bekclothes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WALIDALI/bekclothes", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c37bc14e7939df87037106929fa1e43205c7b978e2ba2b96c6c1280267acdf57
- Size of remote file:
- 3.44 GB
- SHA256:
- 7aa8a0e351c61355d0bc2410bb890f5aed6822728a720ce1a5fd4e469f4e50cc
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