mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-19 14:58:12 +00:00
96 lines
3.2 KiB
Markdown
96 lines
3.2 KiB
Markdown
# 当图像模型遇见 AnimateDiff——模型组合技术
|
||
|
||
我们已经领略到了 Stable Diffusion 模型及其生态模型的强大图像生成能力，现在我们引入一个新的模块：AnimateDiff，这样一来就可以把图像模型的能力迁移到视频中。在本篇文章中，我们为您展示基于 DiffSynth-Studio 搭建的动漫风格视频渲染方案：Diffutoon。
|
||
|
||
## 下载模型
|
||
|
||
接下来的例子会用到很多模型，我们先把它们下载好。
|
||
|
||
* 一个动漫风格的 Stable Diffusion 架构模型
|
||
* 两个 ControlNet 模型
|
||
* 一个 Textual Inversion 模型
|
||
* 一个 AnimateDiff 模型
|
||
|
||
```python
|
||
from diffsynth import download_models
|
||
|
||
download_models([
|
||
"AingDiffusion_v12",
|
||
"AnimateDiff_v2",
|
||
"ControlNet_v11p_sd15_lineart",
|
||
"ControlNet_v11f1e_sd15_tile",
|
||
"TextualInversion_VeryBadImageNegative_v1.3"
|
||
])
|
||
```
|
||
|
||
## 下载视频
|
||
|
||
你可以随意选择任何你喜欢的视频，我们使用[这个视频](https://www.bilibili.com/video/BV1iG411a7sQ)作为演示，你可以通过以下命令下载这个视频文件，但请注意，在没有获得视频原作者的商用版权时，请不要将其用作商业用途。
|
||
|
||
```
|
||
modelscope download --dataset Artiprocher/examples_in_diffsynth data/examples/diffutoon/input_video.mp4 --local_dir ./
|
||
```
|
||
|
||
## 生成动漫
|
||
|
||
```python
|
||
from diffsynth import ModelManager, SDVideoPipeline, ControlNetConfigUnit, VideoData, save_video
|
||
import torch
|
||
|
||
# Load models
|
||
model_manager = ModelManager(torch_dtype=torch.float16, device="cuda")
|
||
model_manager.load_models([
|
||
"models/stable_diffusion/aingdiffusion_v12.safetensors",
|
||
"models/AnimateDiff/mm_sd_v15_v2.ckpt",
|
||
"models/ControlNet/control_v11p_sd15_lineart.pth",
|
||
"models/ControlNet/control_v11f1e_sd15_tile.pth",
|
||
])
|
||
|
||
# Build pipeline
|
||
pipe = SDVideoPipeline.from_model_manager(
|
||
model_manager,
|
||
[
|
||
ControlNetConfigUnit(
|
||
processor_id="tile",
|
||
model_path="models/ControlNet/control_v11f1e_sd15_tile.pth",
|
||
scale=0.5
|
||
),
|
||
ControlNetConfigUnit(
|
||
processor_id="lineart",
|
||
model_path="models/ControlNet/control_v11p_sd15_lineart.pth",
|
||
scale=0.5
|
||
)
|
||
]
|
||
)
|
||
pipe.prompter.load_textual_inversions(["models/textual_inversion/verybadimagenegative_v1.3.pt"])
|
||
|
||
# Load video
|
||
video = VideoData(
|
||
video_file="data/examples/diffutoon/input_video.mp4",
|
||
height=1536, width=1536
|
||
)
|
||
input_video = [video[i] for i in range(30)]
|
||
|
||
# Generate
|
||
torch.manual_seed(0)
|
||
output_video = pipe(
|
||
prompt="best quality, perfect anime illustration, light, a girl is dancing, smile, solo",
|
||
negative_prompt="verybadimagenegative_v1.3",
|
||
cfg_scale=7, clip_skip=2,
|
||
input_frames=input_video, denoising_strength=1.0,
|
||
controlnet_frames=input_video, num_frames=len(input_video),
|
||
num_inference_steps=10, height=1536, width=1536,
|
||
animatediff_batch_size=16, animatediff_stride=8,
|
||
)
|
||
|
||
# Save video
|
||
save_video(output_video, "output_video.mp4", fps=30)
|
||
```
|
||
|
||
## 效果展示
|
||
|
||
<video width="512" height="256" controls>
|
||
<source src="https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/b54c05c5-d747-4709-be5e-b39af82404dd" type="video/mp4">
|
||
您的浏览器不支持Video标签。
|
||
</video>
|