Instructions to use Lin231/pose15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lin231/pose15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lin231/pose15", 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:
- aff43fff0e771f87ae5cb9dc1bb249279113c4d4610f6b85419db427f2e14240
- Size of remote file:
- 1.45 GB
- SHA256:
- fd1575c11f1b7919af22d6f0418e21c78e5bd2de7d27b0d2b70556222594fb84
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