Instructions to use Miayan/project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miayan/project with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miayan/project", 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
Download train_ex3/checkpoint-235000/optimizer.bin from Miayan/project: direct link, hf CLI and curl.
- Browser
- Download file 5.57 GB
-
https://huggingface.co/Miayan/project/resolve/main/train_ex3/checkpoint-235000/optimizer.bin
- Command line
-
hf download hf://Miayan/project/train_ex3/checkpoint-235000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Miayan/project/resolve/main/train_ex3/checkpoint-235000/optimizer.bin
5.57 GB
- Xet hash:
- 7b6917a091fb56d816262d30f92095910819eeb1babbad5aabafcdc36a11ad5b
- Size of remote file:
- 5.57 GB
- SHA256:
- 7b747d3815c6ed6126ba4e775afd30945658060bf83d349f8ab10c262b91c426
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