Instructions to use Siyam/my-cool-model6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Siyam/my-cool-model6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Siyam/my-cool-model6", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0c59bb4ab50471709ceeee7c186efba4df2b46c75a46dcb15af236b99d3ec8cd
- Size of remote file:
- 167 MB
- SHA256:
- 76598a10a843bf22ce42ace865f38ee543a12f376de5922d1cf8553258a967eb
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