Instructions to use GraydientPlatformAPI/lja-personified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/lja-personified with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/lja-personified", 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:
- c626816d17763585063ad063efd6edd11ad33ed8ecccf47e77fc480b308dd62f
- Size of remote file:
- 246 MB
- SHA256:
- a61e9026c409763a6dacec8dcd53948a81cdf0678091b5b747549bc8a4c449c5
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