Differential Diffusionとは？
通常の inpainting では、マスクは「白か黒か」の二択で扱われます。
少しでもグレーになると「マスクしていない」と見なされ、完全な白の部分だけしか inpainting してくれません。
Differential Diffusion は、マスクの濃度に応じて denoise の強さを連続的に変える ための仕組みです。
これのおかげで、場所ごとに変化量が異なる inpainting を一回のサンプリングで行うことができます。
inpainting を先に読んでいる前提です。
マスクの作り方は マスク操作、AIを使ったマスク生成 を参照してください。
使い方
グラデーションマスクを用意し、inpainting の workflow に Differential Diffusion ノードを追加するだけです。
workflow
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- ベースは
Set Latent Noise Maskノードを使った workflow です。- もちろん、inpainting モデルや ControlNet モデルを使った workflow でも使えます。
- 🟩
Differential Diffusionノードを追加
マスクの白い部分ほどプロンプトに寄り、黒い部分ほど「元の絵」を残します。
面白い使い方
部位ごとに変化量を変える
マスクはグラデーションである必要はありません。
一枚のマスクの中で、場所ごとに濃さを変える ことで、1 回のサンプリングで部位ごとに違う変化量を指定できます。
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- 変えたい部分ごとに、マスクの濃さを描き分ける（例: 顔は薄めのグレー、背景は白など）
マスク境界をなじませる
inpainting のよくある問題として、マスクの境目がくっきり出てしまうことがあります。
Differential Diffusion と、ぼかしたマスクを組み合わせることで、この境界を自然になじませましょう。
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- 🟪 今回は inpainting モデルを使った workflow に組み込みます。
Gaussian Blur Maskノード（ComfyUI-Impact-Pack）でマスクの境界をぼかす- ぼかすと実質マスクが小さくなるため、前処理として少しマスクを大きくしておきます。
深度マップをマスクとして使う
深度マップは白黒のグラデーションで表されます。
つまり、Differential Diffusion と相性が良いマスクとして使うことが出来ます。
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"slot_index": 0,
"links": [
25
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"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,
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],
"size": [
210,
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],
"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,
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],
"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",
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]
}
],
"links": [
[
3,
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1,
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0,
"CLIP"
],
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0,
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],
[
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,
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0,
20,
0,
"CONDITIONING"
],
[
26,
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0,
20,
1,
"CONDITIONING"
],
[
27,
10,
0,
20,
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"VAE"
],
[
28,
20,
2,
3,
3,
"LATENT"
],
[
35,
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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,
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"MASK"
],
[
50,
30,
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20,
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"MASK"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.6830134553650705,
"offset": [
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},
"frontendVersion": "1.34.6",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
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},
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}
- 🟦 Depth Anything V2 で深度マップを作成
- これは IMAGE なので
Convert Image to Maskノードでマスクに変換します。
- これは IMAGE なので
正直、SD1.5 では性能が足りないのですが、深度マップをマスクとして使うこと自体は、お気に入りの方法です。
サンプル画像
