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", 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
Download assets/samples/wind.png from AlperKTS/Krea2_FP8: direct link, hf CLI and curl.
- Browser
- Download file 3.61 MB
-
https://huggingface.co/AlperKTS/Krea2_FP8/resolve/main/assets/samples/wind.png
- Command line
-
hf download hf://AlperKTS/Krea2_FP8/assets/samples/wind.png
-
curl -L -o wind.png https://huggingface.co/AlperKTS/Krea2_FP8/resolve/main/assets/samples/wind.png
3.61 MB

- Xet hash:
- a9362f76e9da0ff999eabe4948ae43a25ba5e7916b9b7c02bdb10316b44f6592
- Size of remote file:
- 3.61 MB
- SHA256:
- 301591fd2074283e8058e926c9b66c89141b3c04f4a05f09d9b6f9e110a57c91
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