Instructions to use ethanfel/Krea-2-Base-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ethanfel/Krea-2-Base-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ethanfel/Krea-2-Base-Diffusers", 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:
- 7026e3b9d0dbae9b1d32d3a0acf15821a30597e49b2f28919cbf884c122c76c5
- Size of remote file:
- 8.88 GB
- SHA256:
- 8434db05292f95e0041589a7c82abeb39385be59c85b54ae11caa7b45e9f4f13
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