Instructions to use d-wang26/mk1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d-wang26/mk1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("d-wang26/mk1", 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 checkpoint-1000/optimizer.bin from d-wang26/mk1: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/d-wang26/mk1/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://d-wang26/mk1/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/d-wang26/mk1/resolve/main/checkpoint-1000/optimizer.bin
910 MB
- Xet hash:
- 397ef1e5d59a96534011b3ab0ad18c6812251cafb2b409697030bd060ebeaee8
- Size of remote file:
- 910 MB
- SHA256:
- dbd543c6baca19d6748e28256808e2772d6c0c03ff55ff92b0e1d7fb0e173b1e
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