Instructions to use Jason248/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jason248/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jason248/test", 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/scheduler.bin from Jason248/test: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/Jason248/test/resolve/main/checkpoint-1000/scheduler.bin
- Command line
-
hf download hf://Jason248/test/checkpoint-1000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/Jason248/test/resolve/main/checkpoint-1000/scheduler.bin
1 kB
- Xet hash:
- 935a3ce356164ade060235d0e2d48551b8c7c0ddc24492dba3d2ccc55a37c16f
- Size of remote file:
- 1 kB
- SHA256:
- f5e3038e22918644c66e0bdb49802f25b3f54f6b9fc8ac0d9e8d4f8c32d0e2f6
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