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

- Xet hash:
- 229dd9885110715c78ad7e46de2362237117153088cd95bbda97d3cb5e4bea9b
- Size of remote file:
- 1.47 MB
- SHA256:
- 162bc2337276f9abb57fb212c70893828c85791fb04922b80bbdf0ecdb955f49
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