Instructions to use rootlocalghost/ERNIE-Image-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rootlocalghost/ERNIE-Image-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("rootlocalghost/ERNIE-Image-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
Upload FP8 quantized transformer/diffusion_pytorch_model-00002-of-00002.safetensors
533eeea verified - Xet hash:
- c818f4ba5cf65b8798bc7eddc4c745b0a432f2c447bc8226a70f92aae9c1feeb
- Size of remote file:
- 3.04 GB
- SHA256:
- 1fa80449e4b96df517d9349ca20b67c9343766f9d071eab32bc979fda822d778
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.