Instructions to use d-wang26/wd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d-wang26/wd 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/wd", 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-7500/optimizer.bin from d-wang26/wd: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/d-wang26/wd/resolve/main/checkpoint-7500/optimizer.bin
- Command line
-
hf download hf://d-wang26/wd/checkpoint-7500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/d-wang26/wd/resolve/main/checkpoint-7500/optimizer.bin
910 MB
- Xet hash:
- f1c675768181845fb9eaac367ec807b916d6c6675b0ab1954d1288de68e42bd7
- Size of remote file:
- 910 MB
- SHA256:
- ff6105e78195e23154870e9bd941f0bf737a803b3a23685950c055bdcee9b0af
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