Instructions to use Masterjp123/Masterjps-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Masterjp123/Masterjps-Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Masterjp123/Masterjps-Models", 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:
- d050fb54b3f55e890cd4cd06ffd7d6fbf628a9d0a7d9bd9e3a4ba75621a7de85
- Size of remote file:
- 7.22 GB
- SHA256:
- e148035a853e3889d0186abfecfe6af969ed2d76927bc516af252f5349cff58b
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