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
Commit History
-
Upload scheduler_config.json
Verified signature2e7bbf3 -
Delete scheduler/scheduler_scheduler_config.json
Verified signature0104a94 -
Upload scheduler_scheduler_config.json
Verified signature567682b -
Rename scheduler/scheduler_scheduler_config.json to scheduler_scheduler_config.json
Verified signaturec80cb01 -
Upload scheduler_scheduler_config.json
Verified signaturee753c4f -
Delete scheduler
Verified signature6613d5f -
Create scheduler
Verified signature7c5ef66 -
Rename scheduler/scheduler_scheduler_config.json to scheduler_scheduler_config.json
Verified signature931317c -
Upload 6 files
Verified signature6aa8a03