Instructions to use Rotyh/platform_tile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rotyh/platform_tile with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rotyh/platform_tile", 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:
- 2663ce7ba60f763ebe7373a18414a7f25507f03bd880a71b796b4e724de3559f
- Size of remote file:
- 2.61 GB
- SHA256:
- 9e7a4380caa75a98e4cb60877c0f0a0fa61fa4bc9a1c3d18d1a1ad740e1322a0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.