Instructions to use K00B404/tiny_image_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use K00B404/tiny_image_gen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("K00B404/tiny_image_gen", 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:
- 9a35713242de3bf2e68fc6abba0e64772731795c2265456a58c8040fb06bd420
- Size of remote file:
- 1.72 GB
- SHA256:
- 276b275386e07d91a0ad74a5065b0ac3a70790060565ef7988fa916a2ee1fee3
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