Instructions to use Jason248/myModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jason248/myModel 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/myModel", 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-2000/scaler.pt from Jason248/myModel: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/Jason248/myModel/resolve/main/checkpoint-2000/scaler.pt
- Command line
-
hf download hf://Jason248/myModel/checkpoint-2000/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/Jason248/myModel/resolve/main/checkpoint-2000/scaler.pt
988 Bytes
- Xet hash:
- 5aceebb5e88cb9aa122608d1e7b278e82ee7b45faaab2851706cfa3f7635a437
- Size of remote file:
- 988 Bytes
- SHA256:
- 3c50a9cebe5d66d453d25b140738bff479749ac03e0a43597d8776bc22f6ed0c
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