Text-to-Image
Diffusers
Safetensors
English
Krea2Pipeline
image-generation
krea2
orbitquant
w4a4
4-bit precision
quantized
8-bit precision
Instructions to use WaveCut/Krea-2-Turbo-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Krea-2-Turbo-OrbitQuant-W4A4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/Krea-2-Turbo-OrbitQuant-W4A4", 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
| { | |
| "python": "3.12.3", | |
| "torch": "2.8.0+cu128", | |
| "torch_cuda": "12.8", | |
| "cuda_available": true, | |
| "gpu": "NVIDIA A40", | |
| "capability": [ | |
| 8, | |
| 6 | |
| ], | |
| "nvidia_smi": "NVIDIA A40, 570.195.03, 300.00 W", | |
| "diffusers": "0.39.0", | |
| "transformers": "5.15.0", | |
| "huggingface_hub": "1.27.0", | |
| "orbitquant": "0.9.2", | |
| "runpod_template_id": "runpod-torch-v280", | |
| "runpod_image": "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404" | |
| } | |