什么是 Differential Diffusion？
在通常的 inpainting，掩膜以“白或黑”的二选一被处理。
即使稍微有点灰也会被视为“没有掩膜”，只 inpainting 完全是白色的部分。
Differential Diffusion 是 根据掩膜的浓度连续地改变 denoise 的强度 的机制。
多亏了这个，可以用 1 次采样进行每一处变化量不同的 inpainting。
前提是先读了 inpainting。
掩膜的制作方法请参照 掩膜操作、使用 AI 生成掩膜。
使用方法
只要准备渐变掩膜，向 inpainting 的工作流追加 Differential Diffusion 节点就好。
工作流
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- 基础是使用了
Set Latent Noise Mask节点的工作流。- 当然，也能用于使用了 inpainting 模型或 ControlNet 模型的工作流。
- 🟩 追加
Differential Diffusion节点
掩膜越白的部分越靠拢提示词，越黑的部分越残留“原来的画”。
有趣的使用方法
每部位改变变化量
掩膜没必要是渐变。
通过 在 1 张掩膜中，每处改变浓度，可以在 1 次采样中每部位指定不同的变化量。
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- 每想改变的部分，分画掩膜的浓度（例: 脸是浅灰、背景是白等）
融合掩膜边界
作为 inpainting 常见的问题，掩膜的交界线会清晰地显现。
通过组合 Differential Diffusion 和模糊的掩膜，让这个边界自然地融合吧。
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- 🟪 这次组装进使用了 inpainting 模型的工作流。
- 用
Gaussian Blur Mask节点（ComfyUI-Impact-Pack）模糊掩膜的边界- 因为模糊的话实质掩膜变小，所以作为预处理稍微让掩膜大一点。
将深度图作为掩膜使用
深度图以黑白的渐变表示。
也就是说，可以作为与 Differential Diffusion 相性好的掩膜使用。
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"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"(best quality, high quality, detailed),beautifull woman walking to viewer, city transformed into a colorful floral scene, (vivid colors:1.1), blooming flowers growing from windows and walls,35mm lens, realistic lighting, ultra detailed, photorealistic"
]
},
{
"id": 30,
"type": "RemapMaskRange",
"pos": [
618.4611687276335,
725.6004563565681
],
"size": [
210,
82
],
"flags": {},
"order": 9,
"mode": 0,
"inputs": [
{
"name": "mask",
"type": "MASK",
"link": 48
}
],
"outputs": [
{
"name": "mask",
"type": "MASK",
"links": [
49,
50
]
}
],
"properties": {
"cnr_id": "comfyui-kjnodes",
"ver": "4dfb85dcc52e4315c33170d97bb987baa46d128b",
"Node name for S&R": "RemapMaskRange"
},
"widgets_values": [
-0.3,
1.6
]
},
{
"id": 27,
"type": "DepthAnythingV2Preprocessor",
"pos": [
2.3412432757320483,
721.9022295517397
],
"size": [
219.6646484375,
82
],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"name": "image",
"type": "IMAGE",
"link": 38
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [
39
]
}
],
"properties": {
"cnr_id": "comfyui_controlnet_aux",
"ver": "12f35647f0d510e03b45a47fb420fe1245a575df",
"Node name for S&R": "DepthAnythingV2Preprocessor"
},
"widgets_values": [
"depth_anything_v2_vitl.pth",
512
],
"color": "#223",
"bgcolor": "#335"
},
{
"id": 3,
"type": "KSampler",
"pos": [
1185.2999999999995,
210.20000000000002
],
"size": [
315,
262
],
"flags": {},
"order": 12,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 37
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 23
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 24
},
{
"name": "latent_image",
"type": "LATENT",
"link": 28
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"slot_index": 0,
"links": [
7
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "KSampler"
},
"widgets_values": [
987,
"fixed",
20,
8,
"euler",
"normal",
1
]
}
],
"links": [
[
3,
4,
1,
6,
0,
"CLIP"
],
[
5,
4,
1,
7,
0,
"CLIP"
],
[
7,
3,
0,
8,
0,
"LATENT"
],
[
9,
8,
0,
9,
0,
"IMAGE"
],
[
10,
10,
0,
8,
1,
"VAE"
],
[
23,
20,
0,
3,
1,
"CONDITIONING"
],
[
24,
20,
1,
3,
2,
"CONDITIONING"
],
[
25,
6,
0,
20,
0,
"CONDITIONING"
],
[
26,
7,
0,
20,
1,
"CONDITIONING"
],
[
27,
10,
0,
20,
2,
"VAE"
],
[
28,
20,
2,
3,
3,
"LATENT"
],
[
35,
22,
0,
20,
3,
"IMAGE"
],
[
36,
4,
0,
26,
0,
"MODEL"
],
[
37,
26,
0,
3,
0,
"MODEL"
],
[
38,
22,
0,
27,
0,
"IMAGE"
],
[
39,
27,
0,
28,
0,
"IMAGE"
],
[
46,
28,
0,
29,
0,
"MASK"
],
[
48,
29,
0,
30,
0,
"MASK"
],
[
49,
30,
0,
24,
0,
"MASK"
],
[
50,
30,
0,
20,
4,
"MASK"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.6830134553650705,
"offset": [
472.39154763335796,
8.033861357349835
]
},
"frontendVersion": "1.34.6",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
"version": 0.4
}
- 🟦 用 Depth Anything V2 制作深度图
- 因为这是 IMAGE 所以用
Convert Image to Mask节点转换为掩膜。
- 因为这是 IMAGE 所以用
老实说，在 SD1.5 性能不足，但将深度图作为掩膜使用本身，是我中意的方法。
样本图像
