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", torch_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
- Xet hash:
- 893db8e0b32c93da39ba1b0167f83a2d8d9e3ee762bd28361b41d576f510b9a6
- Size of remote file:
- 6.88 GB
- SHA256:
- fa31d2e688089a0d751037998a68468f4f9352bb50a9bc5606712e8972567436
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