README.md

metadata

title: SD1.5 Interior LoRA
emoji: 🚀
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 6.11.0
app_file: app.py
pinned: false
license: apache-2.0
tag: i

LCM DreamShaper v7 — OpenVINO INT8

Fast CPU-based text-to-image generation using Latent Consistency Models with OpenVINO INT8 quantization.

Models used

• OpenVINO/LCM_Dreamshaper_v7-int8-ov — main pipeline
• rupeshs/taesd-ov — tiny autoencoder for fast decoding

Setup

The Space expects the model folder LCM_Dreamshaper_v7-int8-ov to exist at the repo root.
Use the download script below once, commit the weights, and the app will load from disk.

import huggingface_hub as hf_hub

hf_hub.snapshot_download("OpenVINO/LCM_Dreamshaper_v7-int8-ov", local_dir="LCM_Dreamshaper_v7-int8-ov")
hf_hub.snapshot_download("rupeshs/taesd-ov", allow_patterns="vae_decoder/*", local_dir="LCM_Dreamshaper_v7-int8-ov")
hf_hub.snapshot_download("rupeshs/taesd-ov", allow_patterns="vae_encoder/*", local_dir="LCM_Dreamshaper_v7-int8-ov")

Or add a download_models.py script and call it from a Space startup script.

Requirements

gradio>=4.44.0
openvino-genai
Pillow
numpy