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_ex9/checkpoint-235260/optimizer.bin from Miayan/project: direct link, hf CLI and curl.
- Browser
- Download file 6.41 GB
-
https://huggingface.co/Miayan/project/resolve/main/train_ex9/checkpoint-235260/optimizer.bin
- Command line
-
hf download hf://Miayan/project/train_ex9/checkpoint-235260/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Miayan/project/resolve/main/train_ex9/checkpoint-235260/optimizer.bin
6.41 GB
- Xet hash:
- 64463572b4ee5b013f996a19da446e7e2d74d992a2b57739e9325786744d05a0
- Size of remote file:
- 6.41 GB
- SHA256:
- a6b5b1d2d0f8a4b1a13d8bd43d8aa00fea0c5679553c55a3ac97fb0432b071a0
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