Instructions to use wkrfugs/driftwam-piper-4task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wkrfugs/driftwam-piper-4task with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wkrfugs/driftwam-piper-4task", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Piper
How to use wkrfugs/driftwam-piper-4task with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download split.json from wkrfugs/driftwam-piper-4task: direct link, hf CLI and curl.
- Browser
- Download file 1.13 kB
-
https://huggingface.co/wkrfugs/driftwam-piper-4task/resolve/main/split.json
- Command line
-
hf download hf://wkrfugs/driftwam-piper-4task/split.json
-
curl -L -o split.json https://huggingface.co/wkrfugs/driftwam-piper-4task/resolve/main/split.json
1.13 kB
| { | |
| "seed": 42, | |
| "algorithm": "numpy.PCG64, sorted tasks/episode IDs", | |
| "train": [ | |
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| ], | |
| "validation": [ | |
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| } | |