Instructions to use cusiman/Krea2_Collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cusiman/Krea2_Collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cusiman/Krea2_Collection", 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/anime.png from cusiman/Krea2_Collection: direct link, hf CLI and curl.
- Browser
- Download file 3.54 MB
-
https://huggingface.co/cusiman/Krea2_Collection/resolve/main/assets/samples/anime.png
- Command line
-
hf download hf://cusiman/Krea2_Collection/assets/samples/anime.png
-
curl -L -o anime.png https://huggingface.co/cusiman/Krea2_Collection/resolve/main/assets/samples/anime.png
3.54 MB

- Xet hash:
- 9941ed38f71a6437eddb2614369fc2cc58f6c9098900e45b0b116018ec6953b7
- Size of remote file:
- 3.54 MB
- SHA256:
- 0f5d1e9d91157451804c4da11f96975cdf18141ee085866c0a97cd6789d4d280
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