From 42a9d84853092c0fb3970a085ea1ebda0e20c602 Mon Sep 17 00:00:00 2001
From: Z-Fran <1396925302@qq.com>
Date: Fri, 2 Jun 2023 13:10:10 +0800
Subject: [PATCH] [Fix] fix init_model and glide demo

---
 mmagic/apis/__init__.py          |  3 ++-
 projects/glide/configs/README.md | 14 +++++++-------
 2 files changed, 9 insertions(+), 8 deletions(-)

diff --git a/mmagic/apis/__init__.py b/mmagic/apis/__init__.py
index e99723a4bd..5020f3e494 100644
--- a/mmagic/apis/__init__.py
+++ b/mmagic/apis/__init__.py
@@ -1,4 +1,5 @@
 # Copyright (c) OpenMMLab. All rights reserved.
+from .inferencers.inference_functions import init_model
 from .mmagic_inferencer import MMagicInferencer
 
-__all__ = ['MMagicInferencer']
+__all__ = ['MMagicInferencer', 'init_model']
diff --git a/projects/glide/configs/README.md b/projects/glide/configs/README.md
index 0d7e4e3ca6..3ac3fcce31 100644
--- a/projects/glide/configs/README.md
+++ b/projects/glide/configs/README.md
@@ -34,10 +34,10 @@ Diffusion models have recently been shown to generate high-quality synthetic ima
 
 **Laion**
 
-| Method | Resolution       | Config                                                                      | Weights                                                                                 |
-| ------ | ---------------- | --------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
-| Glide  | 64x64            | [config](projects/glide/configs/glide_ddim-classifier-free_laion-64x64.py)  | [model](https://download.openmmlab.com/mmediting/glide/glide_laion-64x64-02afff47.pth)  |
-| Glide  | 64x64 -> 256x256 | [config](projects/glide/configs/glide_ddim-classifier-free_laion-64-256.py) | [model](https://download.openmmlab.com/mmediting/glide/glide_laion-64-256-02afff47.pth) |
+| Method | Resolution       | Config                                                                      | Weights                                                                                    |
+| ------ | ---------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
+| Glide  | 64x64            | [config](projects/glide/configs/glide_ddim-classifier-free_laion-64x64.py)  | [model](https://download.openmmlab.com/mmediting/glide/glide_laion-64x64-02afff47.pth)     |
+| Glide  | 64x64 -> 256x256 | [config](projects/glide/configs/glide_ddim-classifier-free_laion-64-256.py) | [model](https://download.openxlab.org.cn/models/mmediting/GLIDE/weight/glide_laion-64-256) |
 
 ## Quick Start
 
@@ -72,14 +72,14 @@ You can synthesis images with 256x256 resolution:
 ```python
 import torch
 from torchvision.utils import save_image
-from mmedit.apis import init_model
+from mmagic.apis import init_model
 from mmengine.registry import init_default_scope
 from projects.glide.models import *
 
-init_default_scope('mmedit')
+init_default_scope('mmagic')
 
 config = 'projects/glide/configs/glide_ddim-classifier-free_laion-64-256.py'
-ckpt = 'https://download.openmmlab.com/mmediting/glide/glide_laion-64-256-02afff47.pth'
+ckpt = 'https://download.openxlab.org.cn/models/mmediting/GLIDE/weight/glide_laion-64-256'
 model = init_model(config, ckpt).cuda().eval()
 prompt = "an oil painting of a corgi"