Instructions to use ProCreations/Image-2.1-Turbo-Calibrated-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ProCreations/Image-2.1-Turbo-Calibrated-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("ProCreations/Image-2.1-Turbo-Calibrated-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
File size: 501 Bytes
ffc54ec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"torch": "2.14.0+cu130",
"cuda": "13.0",
"diffusers": "0.41.0",
"transformers": "5.17.0",
"triton": "3.8.0",
"flashinfer": "0.7.1",
"sageattention": "2.2.0",
"gpu": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
"capability": [
12,
0
],
"driver": "615.71.09",
"python": "3.12.3",
"os": "Linux-7.0.0-34-generic-x86_64-with-glibc2.43",
"sageattention_source": "github.com/thu-ml/SageAttention commit d1a57a546c3d395b1ffcbeecc66d81db76f3b4b5 (built locally)"
} |