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_ex6_7/checkpoint-55000/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_ex6_7/checkpoint-55000/optimizer.bin
- Command line
-
hf download hf://Miayan/project/train_ex6_7/checkpoint-55000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Miayan/project/resolve/main/train_ex6_7/checkpoint-55000/optimizer.bin
5.57 GB
- Xet hash:
- 4c6d7e62c83316dc88124807e7ce7249c68cf1e17e0751faac7a1e76b3d736bb
- Size of remote file:
- 5.57 GB
- SHA256:
- c98796f0953406098dc5452b922f229e993fbea1ab2b681b3c576e8ba05accf1
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