Text-to-Image
Diffusers
checkpoint
finetuned
krea2
realism
fp8
int8-convrot
bf16
cinematic
photorealism
turbo
Instructions to use Raxephion/Krea2-Solstice-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Raxephion/Krea2-Solstice-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Raxephion/Krea2-Solstice-V2", dtype=torch.bfloat16, device_map="cuda") prompt = "Sample 1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Images/08.png from Raxephion/Krea2-Solstice-V2: direct link, hf CLI and curl.
- Browser
- Download file 1.69 MB
-
https://huggingface.co/Raxephion/Krea2-Solstice-V2/resolve/main/Images/08.png
- Command line
-
hf download hf://Raxephion/Krea2-Solstice-V2/Images/08.png
-
curl -L -o 08.png https://huggingface.co/Raxephion/Krea2-Solstice-V2/resolve/main/Images/08.png
1.69 MB

- Xet hash:
- d5c3f4f40842853ad60077ac2c7d86248db8a4c21e50319d9ef5f9f9c1883072
- Size of remote file:
- 1.69 MB
- SHA256:
- f3f59ea377986496aefb1eafc0c86ac9d8fa4773774aac65f3771ef05a8828dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.