Instructions to use aditya11997/kandi2-decoder-3.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aditya11997/kandi2-decoder-3.2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aditya11997/kandi2-decoder-3.2", 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:
- 96c4aff22afb7f7a064e5a2bd016d57d11f5910754f9ea17fb1fc7578efc331e
- Size of remote file:
- 1 kB
- SHA256:
- c6e10cbbd47d49c2812d890f2ea3cdaa9e47f3de73dd6dfd6a8f0b7a20e1293f
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