Instructions to use Saurabh4509/Model_45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saurabh4509/Model_45 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Saurabh4509/Model_45", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint/scaler.pt from Saurabh4509/Model_45: direct link, hf CLI and curl.
- Browser
- Download file 557 Bytes
-
https://huggingface.co/Saurabh4509/Model_45/resolve/main/checkpoint/scaler.pt
- Command line
-
hf download hf://Saurabh4509/Model_45/checkpoint/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/Saurabh4509/Model_45/resolve/main/checkpoint/scaler.pt
557 Bytes
- Xet hash:
- d68f7f68c6a8929d8663bbd38bfffe9b7e8454e3f3ff0527d9e2f85317cf0cd4
- Size of remote file:
- 557 Bytes
- SHA256:
- af00b4a1d6f958e9aac32b8a85f495a006ab2769eab01b4b45246feb14c65a8f
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