Instructions to use ProCreations/Image-2.1-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-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-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
Accelerate full 40-step FP8 generation with native precision, measured quality and real-time demo
1081be0 verified Download optimization/comparisons/06.jpg from ProCreations/Image-2.1-Calibrated-FP8: direct link, hf CLI and curl.
- Browser
- Download file 103 kB
-
https://huggingface.co/ProCreations/Image-2.1-Calibrated-FP8/resolve/main/optimization/comparisons/06.jpg
- Command line
-
hf download hf://ProCreations/Image-2.1-Calibrated-FP8/optimization/comparisons/06.jpg
-
curl -L -o 06.jpg https://huggingface.co/ProCreations/Image-2.1-Calibrated-FP8/resolve/main/optimization/comparisons/06.jpg
103 kB

- Xet hash:
- 75d84370b3c97aba7c8a0bfd05c471d38d8d877ae6a9754679d5c3e94f6aadc2
- Size of remote file:
- 103 kB
- SHA256:
- 281c7cd5a5cd8a89177c74a5a4c87a291f9328d5a157c9586dc8cbb250f73c84
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.