Instructions to use Kha37lid/khalid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kha37lid/khalid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kha37lid/khalid", 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:
- 1b9430abc740a6b5095969a23b0dfcd0023440a93af2e5ff0de83149a4c001b3
- Size of remote file:
- 246 MB
- SHA256:
- 56de0dd223cb0b78ddb726683734fb264570ec6d3e518feae601994e1da162b7
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