metadata
license: creativeml-openrail-m
language:
- zh
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
- tensorRT
Model Card for fast_sd_1.5
fast_sd_1.5 is a tensorRT implementation of Stable diffusion model, with stable 1.5 weights. Main features
- weights: original stable diffusion 1.4 weights
- input image size range: 256~640 （min 256x256, max 640x640）
- device requirements: Nvidia Ampere architecture or newer (A100)
- super-resultion: 4x by default, optional.
fast_sd_1.5 is a part of TME lyralab Fast Model Plan.
Model Sources [optional]
Uses
from fast_sd_1.5 import FSD
from PIL import Image
inference_model = FSD(plan="path/to/plan/dir", superres="4x")
# text input
text = "A red ballon flying in the sky"
output_img = inference_model.infer(text=text)
# img input
img = Image.open("test.jpg")
output_img = inference_model.infer(img=img)