Instructions to use GraydientPlatformAPI/niji6-lcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/niji6-lcm 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/niji6-lcm", 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:
- a8dc5797f1bb45a4faeda49ed6a4e2c012ae06487410cec64c7c9a0b1f980e3e
- Size of remote file:
- 167 MB
- SHA256:
- 982c644e41b52ce20a15985719b187a4499a9c479ec37a13599ec509fa92fe4e
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