Instructions to use stablediffusionapi/ljj01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ljj01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/ljj01", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 40ec931f278103595207a0f350fcbc004b9f14e34fc9621b90d61aabd0a8fd59
- Size of remote file:
- 1.72 GB
- SHA256:
- b0b26fb49409a02e44f61a2ded57e719aafef0b3b2338aca7c21c030afdc4a9a
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