Text-to-Image
Diffusers
Safetensors
ErnieImagePipeline
ernie-image
sdnq
quantized
uint4
static
quantized-matmul
8-bit precision
Instructions to use WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static 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/ERNIE-Image-Turbo-SDNQ-uint4-static", 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
ERNIE-Image-Turbo-SDNQ-uint4-static / comparison /original_vs_sdnq_uint4_static_qmm_peoff_matrix.webp
Download comparison/original_vs_sdnq_uint4_static_qmm_peoff_matrix.webp from WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static: direct link, hf CLI and curl.
- Browser
- Download file 2.05 MB
-
https://huggingface.co/WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static/resolve/main/comparison/original_vs_sdnq_uint4_static_qmm_peoff_matrix.webp
- Command line
-
hf download hf://WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static/comparison/original_vs_sdnq_uint4_static_qmm_peoff_matrix.webp
-
curl -L -o original_vs_sdnq_uint4_static_qmm_peoff_matrix.webp https://huggingface.co/WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static/resolve/main/comparison/original_vs_sdnq_uint4_static_qmm_peoff_matrix.webp
2.05 MB

- Xet hash:
- 7ac226abdbfba43a25a3160efd5a8ce8661a82e21db03ad5b6d98934b692884c
- Size of remote file:
- 2.05 MB
- SHA256:
- 3dd230b7637e43b29f01442aa2332bf1ba9056d9e5055a36c0b347061fe38107
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