Instructions to use lavinal712/NextStep-1-f8ch16-Tokenizer-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lavinal712/NextStep-1-f8ch16-Tokenizer-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lavinal712/NextStep-1-f8ch16-Tokenizer-diffusers", 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:
- d95657f16d25c33f1affe08fa167191cc3be02e15f0fe9ec1c520ec20a691c89
- Size of remote file:
- 8.14 MB
- SHA256:
- bb814f6477b339a07c78296033fb81c134ce57d6e83d4fd061478ef7701f9fba
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