Instructions to use monkseal555/TwoSeq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monkseal555/TwoSeq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("monkseal555/TwoSeq", 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
- Xet hash:
- a6fdfef268d0d0a8fbe4e5a499b1a743638886bcde3b549090ac06d5ab488ba7
- Size of remote file:
- 3.18 GB
- SHA256:
- 7dbfcba953636426828139d05e26bb6cca43c1ec25651d0a5915026c7a9631f2
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