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
Release calibrated Image 2.1 Turbo FP8 transformer, accelerated SM120 runtime, quality evidence and real-time demo
ffc54ec verified Download reports/environment.json from ProCreations/Image-2.1-Turbo-Calibrated-FP8: direct link, hf CLI and curl.
- Browser
- Download file 501 Bytes
-
https://huggingface.co/ProCreations/Image-2.1-Turbo-Calibrated-FP8/resolve/main/reports/environment.json
- Command line
-
hf download hf://ProCreations/Image-2.1-Turbo-Calibrated-FP8/reports/environment.json
-
curl -L -o environment.json https://huggingface.co/ProCreations/Image-2.1-Turbo-Calibrated-FP8/resolve/main/reports/environment.json
501 Bytes
| { | |
| "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)" | |
| } |