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", 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:
- da25f6ecac522337400a8d13c6f6266fcea89ed0ff513aa823a6f5f954eb9fcc
- Size of remote file:
- 681 MB
- SHA256:
- 699316da47f5d8c4f986e118d537f8a44a19cf5321a86b817dbe09f2d9ae6e7b
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