Instructions to use AlperKTS/Krea2_FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlperKTS/Krea2_FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlperKTS/Krea2_FP8", 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:
- deff66eb5bb6a66bb9388773a33990461b8f8ff4bb3021a28db9c0f461e9f66c
- Size of remote file:
- 6.34 MB
- SHA256:
- 901cce29b98f8cd938975f2a1975c76edff9bcbc6fe3f3f3e94829fa2cce1698
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