Compare commits
| Author | SHA1 | Date | |
|---|---|---|---|
 scraed
|
2c8f4baec0 | ||
|
scraed
|
daf1bdf4be | ||
|
scraed
|
f4d4dfdd61 | ||
|
scraed
|
6d624e7e1e | ||
|
scraed
|
e0940059e6 | ||
|
scraed
|
76ce20b51f | ||
|
scraed
|
29ed0b3da5 | ||
|
scraed
|
3d5aa3a3fa | ||
|
charrywhite
|
6109df6591 | ||
|
scraed
|
536716a7b9 | ||
|
scraed
|
ece228ab10 | ||
|
charrywhite
|
c048230250 | ||
|
charrywhite
|
aa885d9fa6 | ||
|
charrywhite
|
80d55a47b0 | ||
|
charrywhite
|
79db1765e3 | ||
|
charrywhite
|
929328d08d | ||
|
scraed
|
c12897040b | ||
|
scraed
|
48b9a59ca3 | ||
|
scraed
|
d55f8c61d0 | ||
|
scraed
|
a097b9c9b2 | ||
|
scraed
|
70cc94cc6a | ||
|
scraed
|
e653f45103 | ||
|
scraed
|
c9c237c2de | ||
|
scraed
|
c5aa0116d5 | ||
|
scraed
|
1820d88594 | ||
|
scraed
|
c265bcc989 | ||
|
scraed
|
b8973c570b | ||
|
scraed
|
1b50a90424 | ||
|
charrywhite
|
dab41249da | ||
|
charrywhite
|
b2b2b21bf1 | ||
|
scraed
|
099d4137a9 | ||
|
scraed
|
2f7967a584 | ||
|
scraed
|
e28e115297 | ||
|
scraed
|
f2cc70fed3 | ||
|
scraed
|
b8e140f7aa |
@@ -98,3 +98,5 @@ cookiecutter-pypackage-env/
|
||||
# vscode settings
|
||||
.history/
|
||||
*.code-workspace
|
||||
.vscode/
|
||||
/.vscode
|
||||
|
||||
Vendored
+4
@@ -5,4 +5,8 @@
|
||||
"/PATH/TO/ComfyUI/",
|
||||
"/PATH/TO/ComfyUI/custom_nodes/"
|
||||
],
|
||||
"cursorpyright.analysis.extraPaths": [
|
||||
"/PATH/TO/ComfyUI/",
|
||||
"/PATH/TO/ComfyUI/custom_nodes/"
|
||||
],
|
||||
}
|
||||
|
||||
@@ -4,43 +4,65 @@
|
||||
[](https://arxiv.org/abs/2502.03491)
|
||||
[](https://github.com/scraed/LanPaintBench)
|
||||
[](https://github.com/comfyanonymous/ComfyUI)
|
||||
[](https://huggingface.co/charrywhite/LanPaint)
|
||||
[](https://scraed.github.io/scraedBlog/)
|
||||
[](https://github.com/scraed/LanPaint/stargazers)
|
||||
</div>
|
||||
|
||||
|
||||
Universally applicable inpainting ability for every model. LanPaint sampler lets the model "think" through multiple iterations before denoising, enabling you to invest more computation time for superior inpainting quality.
|
||||
|
||||
This is the official implementation of ["Lanpaint: Training-Free Diffusion Inpainting with Exact and Fast Conditional Inference"](https://arxiv.org/abs/2502.03491). The repository is for ComfyUI extension. Local Python benchmark code is published here: [LanPaintBench](https://github.com/scraed/LanPaintBench).
|
||||
This is the official implementation of ["Lanpaint: Training-Free Diffusion Inpainting with Exact and Fast Conditional Inference"](https://arxiv.org/abs/2502.03491), accepted by TMLR. The repository is for ComfyUI extension. Local Python benchmark code is published here: [LanPaintBench](https://github.com/scraed/LanPaintBench).
|
||||
|
||||
|
||||
Check [Mased Qwen Edit Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_14). You need to follow the ComfyUI version of [Qwen Image Edit workflow](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit) to download and install the model.
|
||||
**🎬 NEW: LanPaint now supports video inpainting and outpainting based on Wan 2.2!**
|
||||
|
||||
|
||||
<div align="center">
|
||||
|
||||
Also check [Qwen Inpaint Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_13) and [Qwen Outpaint Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_12). You need to follow the ComfyUI version of [Qwen Image workflow](https://docs.comfy.org/tutorials/image/qwen/qwen-image) to download and install the model.
|
||||
| Original Video | Mask (edit T-shirt text) | Inpainted Result |
|
||||
|:--------------:|:----:|:----------------:|
|
||||
|  |  |  |
|
||||
|
||||
*Video Inpainting Example: 81 frames with temporal consistency*
|
||||
|
||||
</div>
|
||||
|
||||
Check our latest [Wan 2.2 Video Examples](#video-examples-beta), [Wan 2.2 Image Examples](#example-wan22-inpaintlanpaint-k-sampler-5-steps-of-thinking), and
|
||||
[Qwen Image Edit 2509](#example-qwen-edit-2509-inpaint) support.
|
||||
|
||||
|
||||
## Table of Contents
|
||||
- [Features](#features)
|
||||
- [Quickstart](#quickstart)
|
||||
- [How to Use Examples](#how-to-use-examples)
|
||||
- [Examples](#examples)
|
||||
- [Video Examples (Beta)](#video-examples-beta)
|
||||
- [Wan 2.2 Video Inpainting](#wan-22-video-inpainting)
|
||||
- [Wan 2.2 5B Video Inpainting](#wan-22-5b-video-inpainting)
|
||||
- [Wan 2.2 Video Outpainting](#wan-22-video-outpainting)
|
||||
- [Resource Consumption](#resource-consumption)
|
||||
- [Image Examples](#image-examples)
|
||||
- [Hunyuan T2I](#example-hunyuan-t2i-inpaintlanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [Wan 2.2 T2I](#example-wan22-inpaintlanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [Wan 2.2 T2I with reference](#example-wan22-partial-inpaintlanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [Qwen Image Edit 2509](#example-qwen-edit-2509-inpaint)
|
||||
- [Qwen Image Edit 2508](#example-qwen-edit-2508-inpaint)
|
||||
- [Qwen Image](#example-qwen-image-inpaintlanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [HiDream](#example-hidream-inpaint-lanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [SD 3.5](#example-sd-35-inpaintlanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [Flux](#example-flux-inpaintlanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [SDXL Examples](#example-sdxl-0-character-consistency-side-view-generation-lanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [SDXL](#example-sdxl-0-character-consistency-side-view-generation-lanpaint-k-sampler-5-steps-of-thinking)
|
||||
- [Usage](#usage)
|
||||
- [Basic Sampler](#basic-sampler)
|
||||
- [Advanced Sampler](#lanpaint-ksampler-advanced)
|
||||
- [Tuning Guide](#lanpaint-ksampler-advanced-tuning-guide)
|
||||
- [Community Showcase](#community-showcase-)
|
||||
- [Community Showcase](#community-showcase-)
|
||||
- [FAQ](#faq)
|
||||
- [Updates](#updates)
|
||||
- [ToDo](#todo)
|
||||
- [Citation](#citation)
|
||||
|
||||
## Features
|
||||
|
||||
- **Universal Compatibility** – Works instantly with almost any model (**SD 1.5, XL, 3.5, Flux, HiDream, Qwen-Image or custom LoRAs**) and ControlNet.
|
||||
- **Universal Compatibility** – Works instantly with almost any model (**SD 1.5, XL, 3.5, Flux, HiDream, Qwen-Image, Wan2.2 or custom LoRAs**) and ControlNet.
|
||||
|
||||
- **No Training Needed** – Works out of the box with your existing model.
|
||||
- **Easy to Use** – Same workflow as standard ComfyUI KSampler.
|
||||
@@ -76,10 +98,147 @@ Once installed, you'll find the LanPaint nodes under the "sampling" category in
|
||||
- **[VAE Encode for Inpainting](https://comfyanonymous.github.io/ComfyUI_examples/inpaint/)**
|
||||
- **[Set Latent Noise Mask](https://comfyui-wiki.com/en/tutorial/basic/how-to-inpaint-an-image-in-comfyui)**
|
||||
|
||||
## Examples
|
||||
## Video Examples (Beta)
|
||||
|
||||
LanPaint now supports video inpainting with Wan 2.2, enabling you to seamlessly inpaint masked regions across video frames while maintaining temporal consistency.
|
||||
|
||||
**Note:** LanPaint supports video inpainting for longer sequences (e.g., 81 frames), but processing time increases significantly (please check the [Resource Consumption](#resource-consumption) section for details) and performance may become unstable. For optimal results and stability, we recommend limiting video inpainting to **40 frames or fewer**.
|
||||
|
||||
### Wan 2.2 Video Inpainting
|
||||
|
||||
*Example: Wan2.2 t2v 14B, 480p video (11:6), 40 frames, LanPaint K Sampler, 2 steps of thinking*
|
||||
|
||||
| Original Video | Mask (Add a white hat) | Inpainted Result |
|
||||
|:--------------:|:----:|:----------------:|
|
||||
|  |  |  |
|
||||
|
||||
[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_17)
|
||||
|
||||
You need to follow the ComfyUI version of [Wan2.2 T2V workflow](https://docs.comfy.org/tutorials/video/wan/wan2_2) to download and install the T2V model.
|
||||
|
||||
### Wan 2.2 5B Video Inpainting
|
||||
|
||||
Similar to Wan 2.2 14B with slightly different workflow. [View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_17)
|
||||
|
||||
### Wan 2.2 Video Outpainting
|
||||
|
||||
Extend your videos beyond their original boundaries with LanPaint's video outpainting capability based on Wan 2.2. This feature allows you to expand the canvas of your videos while maintaining coherent motion and context.
|
||||
|
||||
*Example: Wan2.2 t2v 14B, 480p video (1:1 outpaint to 11:6), 40 frames, LanPaint K Sampler, 2 steps of thinking*
|
||||
|
||||
| Original Video | Mask (Expand to 880x480) | Outpainted Result |
|
||||
|:--------------:|:----:|:-----------------:|
|
||||
|  |  |  |
|
||||
|
||||
[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_19)
|
||||
|
||||
You need to follow the ComfyUI version of [Wan2.2 T2V workflow](https://docs.comfy.org/tutorials/video/wan/wan2_2) to download and install the T2V model.
|
||||
|
||||
### Resource Consumption
|
||||
|
||||
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th align="left">Processing Mode</th>
|
||||
<th align="left">Resolution</th>
|
||||
<th align="left">Frames Processed</th>
|
||||
<th align="left">VRAM Required</th>
|
||||
<th align="left">Total Runtime (20 steps)</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr style="background-color: #e8f4f8;">
|
||||
<td><strong>Inpainting</strong></td>
|
||||
<td>880×480 (11:6)</td>
|
||||
<td>40 frames</td>
|
||||
<td>39.8 GB</td>
|
||||
<td><strong>05:37 min</strong></td>
|
||||
</tr>
|
||||
<tr style="background-color: #e8f4f8;">
|
||||
<td><strong>Inpainting</strong></td>
|
||||
<td>480×480 (1:1)</td>
|
||||
<td>40 frames</td>
|
||||
<td>38.0 GB</td>
|
||||
<td><strong>05:35 min</strong></td>
|
||||
</tr>
|
||||
<tr style="background-color: #e8f4f8;">
|
||||
<td><strong>Outpainting</strong></td>
|
||||
<td>880×480 (11:6)</td>
|
||||
<td>40 frames</td>
|
||||
<td>40.2 GB</td>
|
||||
<td><strong>05:36 min</strong></td>
|
||||
</tr>
|
||||
<tr style="background-color: #fff4e6;">
|
||||
<td><strong>Inpainting</strong></td>
|
||||
<td>880×480 (11:6)</td>
|
||||
<td>81 frames</td>
|
||||
<td>43.3 GB</td>
|
||||
<td><strong>16:23 min</strong></td>
|
||||
</tr>
|
||||
<tr style="background-color: #fff4e6;">
|
||||
<td><strong>Inpainting</strong></td>
|
||||
<td>480×480 (1:1)</td>
|
||||
<td>81 frames</td>
|
||||
<td>39.8 GB</td>
|
||||
<td><strong>14:25 min</strong></td>
|
||||
</tr>
|
||||
<tr style="background-color: #fff4e6;">
|
||||
<td><strong>Outpainting</strong></td>
|
||||
<td>880×480 (11:6)</td>
|
||||
<td>81 frames</td>
|
||||
<td>42.6 GB</td>
|
||||
<td><strong>13:46 min</strong></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
<sub>**Test Platform**: All tests were conducted on an NVIDIA RTX Pro 6000.<br>
|
||||
**Model Used**: `wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors` and `wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors`.<br>
|
||||
**Processing Steps**: 20 sampling steps x 2 (LanPaint steps of thinking).</sub>
|
||||
|
||||
**Note:** To further reduce VRAM requirements, we recommend loading CLIP on CPU.
|
||||
|
||||
## Image Examples
|
||||
|
||||
### Example Hunyuan T2I: InPaint(LanPaint K Sampler, 5 steps of thinking)
|
||||
We are excited to announce that LanPaint now supports inpainting with Hunyuan text to image generation.
|
||||
|
||||
[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_20)
|
||||
|
||||
|
||||
You need to follow the ComfyUI version of [Hunyuan workflow](https://docs.comfy.org/tutorials/video/hunyuan-video#hunyuan-text-to-video-workflow) to download and install the model.
|
||||
|
||||
### Example Wan2.2: InPaint(LanPaint K Sampler, 5 steps of thinking)
|
||||
We are excited to announce that LanPaint now supports Wan2.2 text to image generation with Wan2.2 T2V model.
|
||||
|
||||
|
||||
[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_15)
|
||||
|
||||
|
||||
You need to follow the ComfyUI version of [Wan2.2 T2V workflow](https://docs.comfy.org/tutorials/video/wan/wan2_2) to download and install the T2V model.
|
||||
|
||||
### Example Wan2.2: Partial InPaint(LanPaint K Sampler, 5 steps of thinking)
|
||||
Sometimes we don't want to inpaint completely new content, but rather let the inpainted image reference the original image. One option to achieve this is to inpaint with an edit model like Qwen Image Edit. Another option is to perform a partial inpaint: allowing the diffusion process to start at some middle steps rather than from 0.
|
||||
|
||||
|
||||
[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_16)
|
||||
|
||||
|
||||
You need to follow the ComfyUI version of [Wan2.2 T2V workflow](https://docs.comfy.org/tutorials/video/wan/wan2_2) to download and install the T2V model.
|
||||
|
||||
### Example Qwen Edit 2509: InPaint
|
||||
Check our latest updated [Mased Qwen Edit Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_14) for Qwen Image Edit 2509. Download the model at [Qwen Image Edit 2509 Comfy](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/tree/main/split_files/diffusion_models).
|
||||
|
||||
|
||||
|
||||
### Example Qwen Edit 2508: InPaint
|
||||
|
||||
Check [Mased Qwen Edit Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_14). You need to follow the ComfyUI version of [Qwen Image Edit workflow](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit) to download and install the model.
|
||||
|
||||
|
||||
|
||||
### Example Qwen Image: InPaint(LanPaint K Sampler, 5 steps of thinking)
|
||||
We are excited to announce that LanPaint now supports Qwen Image, providing powerful inpainting capabilities for image editing.
|
||||
|
||||
|
||||
[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_11)
|
||||
@@ -89,6 +248,9 @@ You need to follow the ComfyUI version of [Qwen Image workflow](https://docs.com
|
||||
|
||||
The following examples utilize a random seed of 0 to generate a batch of 4 images for variance demonstration and fair comparison. (Note: Generating 4 images may exceed your GPU memory; please adjust the batch size as necessary.)
|
||||
|
||||
|
||||
Also check [Qwen Inpaint Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_13) and [Qwen Outpaint Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_12). You need to follow the ComfyUI version of [Qwen Image workflow](https://docs.comfy.org/tutorials/image/qwen/qwen-image) to download and install the model.
|
||||
|
||||
### Example HiDream: InPaint (LanPaint K Sampler, 5 steps of thinking)
|
||||
|
||||
[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_8)
|
||||
@@ -198,7 +360,7 @@ For challenging inpainting tasks:
|
||||
Increase **total number of sampling steps** (very important!), **LanPaint_NumSteps** (thinking iterations) or **LanPaint_Lambda** if the inpainted result does not meet your expectations.
|
||||
|
||||
2️⃣ **Boost Speed**
|
||||
If you want better results but still need fewer steps, consider:
|
||||
Decrease **LanPaint_NumSteps** to accelerate generation! If you want better results but still need fewer steps, consider:
|
||||
- **Increasing LanPaint_StepSize** to speed up the thinking process.
|
||||
- **Decreasing LanPaint_Friction** to make the Langevin dynamics converges more faster.
|
||||
|
||||
@@ -223,6 +385,9 @@ Discover how the community is using LanPaint! Here are some user-created tutoria
|
||||
|
||||
Submit a PR to add your tutorial/video here, or open an [Issue](https://github.com/scraed/LanPaint/issues) with details!
|
||||
|
||||
## FAQ
|
||||
[Working togather with crop&stitch](https://github.com/scraed/LanPaint/issues/46)
|
||||
|
||||
## Updates
|
||||
- 2025/08/08
|
||||
- Add Qwen image support
|
||||
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 1.3 MiB |
@@ -0,0 +1,786 @@
|
||||
{
|
||||
"id": "978d3a45-3d13-43c6-8ef9-89dc3e74d6ba",
|
||||
"revision": 0,
|
||||
"last_node_id": 82,
|
||||
"last_link_id": 220,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 66,
|
||||
"type": "SetLatentNoiseMask",
|
||||
"pos": [
|
||||
514.1915893554688,
|
||||
781.9396362304688
|
||||
],
|
||||
"size": [
|
||||
264.5999755859375,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 216
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 189
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
186
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "SetLatentNoiseMask"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 78,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
314.8565368652344,
|
||||
255.63235473632812
|
||||
],
|
||||
"size": [
|
||||
422.84503173828125,
|
||||
164.31304931640625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"label": "clip",
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 194
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"label": "CONDITIONING",
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
195
|
||||
]
|
||||
}
|
||||
],
|
||||
"title": "CLIP Text Encode (Positive Prompt)",
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.26",
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": [
|
||||
"cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open placing a fancy black forest cake with candles on top of a dinner table of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere there are paintings on the walls"
|
||||
],
|
||||
"color": "#232",
|
||||
"bgcolor": "#353"
|
||||
},
|
||||
{
|
||||
"id": 80,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
362.7684020996094,
|
||||
481.0662536621094
|
||||
],
|
||||
"size": [
|
||||
422.84503173828125,
|
||||
164.31304931640625
|
||||
],
|
||||
"flags": {
|
||||
"collapsed": true
|
||||
},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"label": "clip",
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 196
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"label": "CONDITIONING",
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
210
|
||||
]
|
||||
}
|
||||
],
|
||||
"title": "CLIP Text Encode (Negative Prompt)",
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.26",
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": [
|
||||
""
|
||||
],
|
||||
"color": "#322",
|
||||
"bgcolor": "#533"
|
||||
},
|
||||
{
|
||||
"id": 79,
|
||||
"type": "FluxGuidance",
|
||||
"pos": [
|
||||
529.1380615234375,
|
||||
156.20236206054688
|
||||
],
|
||||
"size": [
|
||||
211.60000610351562,
|
||||
58
|
||||
],
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"label": "conditioning",
|
||||
"name": "conditioning",
|
||||
"type": "CONDITIONING",
|
||||
"link": 195
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"label": "CONDITIONING",
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
207
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.26",
|
||||
"Node name for S&R": "FluxGuidance"
|
||||
},
|
||||
"widgets_values": [
|
||||
3.5
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 77,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [
|
||||
-66.25785064697266,
|
||||
484.081787109375
|
||||
],
|
||||
"size": [
|
||||
315,
|
||||
98
|
||||
],
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"label": "MODEL",
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
197
|
||||
]
|
||||
},
|
||||
{
|
||||
"label": "CLIP",
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"slot_index": 1,
|
||||
"links": [
|
||||
194,
|
||||
196
|
||||
]
|
||||
},
|
||||
{
|
||||
"label": "VAE",
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"slot_index": 2,
|
||||
"links": [
|
||||
200,
|
||||
203
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.26",
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": [
|
||||
"flux1-dev-fp8.safetensors"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 73,
|
||||
"type": "LanPaint_KSampler",
|
||||
"pos": [
|
||||
1005.0399780273438,
|
||||
296.9553527832031
|
||||
],
|
||||
"size": [
|
||||
413.6495666503906,
|
||||
596
|
||||
],
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 197
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 207
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 210
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 186
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
187
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "56bd6c04e89124cd06682b304245d6ddf8b20522",
|
||||
"Node name for S&R": "LanPaint_KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
0,
|
||||
"fixed",
|
||||
30,
|
||||
1,
|
||||
"euler",
|
||||
"simple",
|
||||
1,
|
||||
5,
|
||||
"Image First",
|
||||
"LanPaint KSampler. Recommend steps 50, LanPaint NumSteps 1-20 depending on the difficulty of task. LanPaint_EndSigma = 3.0 for anime style, 0.6 for realistic style. For more information, visit https://github.com/scraed/LanPaint",
|
||||
"🖼️ Image Inpainting"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 65,
|
||||
"type": "VAEEncode",
|
||||
"pos": [
|
||||
200.1034698486328,
|
||||
776.3561401367188
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "pixels",
|
||||
"type": "IMAGE",
|
||||
"link": 188
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 203
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
216
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEEncode"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 48,
|
||||
"type": "SaveImage",
|
||||
"pos": [
|
||||
1075.49169921875,
|
||||
1167.2703857421875
|
||||
],
|
||||
"size": [
|
||||
311.2532653808594,
|
||||
484.7096252441406
|
||||
],
|
||||
"flags": {},
|
||||
"order": 9,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 103
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23"
|
||||
},
|
||||
"widgets_values": [
|
||||
"ComfyUI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 81,
|
||||
"type": "LanPaint_MaskBlend",
|
||||
"pos": [
|
||||
1773.0189208984375,
|
||||
1222.9478759765625
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
98
|
||||
],
|
||||
"flags": {},
|
||||
"order": 10,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "image1",
|
||||
"type": "IMAGE",
|
||||
"link": 219
|
||||
},
|
||||
{
|
||||
"name": "image2",
|
||||
"type": "IMAGE",
|
||||
"link": 218
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 220
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
217
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "4d3d5d17f0105b673df92da5b084cce567c9c712",
|
||||
"Node name for S&R": "LanPaint_MaskBlend"
|
||||
},
|
||||
"widgets_values": [
|
||||
9
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 82,
|
||||
"type": "SaveImage",
|
||||
"pos": [
|
||||
2106.45166015625,
|
||||
1090.682861328125
|
||||
],
|
||||
"size": [
|
||||
311.2532653808594,
|
||||
484.7096252441406
|
||||
],
|
||||
"flags": {},
|
||||
"order": 11,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 217
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23"
|
||||
},
|
||||
"widgets_values": [
|
||||
"ComfyUI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "VAEDecode",
|
||||
"pos": [
|
||||
1211.46484375,
|
||||
1065.318359375
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 8,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 187
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 200
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
103,
|
||||
218
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 75,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
45.954593658447266,
|
||||
1150.45556640625
|
||||
],
|
||||
"size": [
|
||||
266.13720703125,
|
||||
487.1314697265625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
188,
|
||||
219
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": [
|
||||
189,
|
||||
220
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.27",
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": [
|
||||
"clipspace/clipspace-mask-8865503.5.png [input]",
|
||||
"image"
|
||||
]
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[
|
||||
103,
|
||||
8,
|
||||
0,
|
||||
48,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
186,
|
||||
66,
|
||||
0,
|
||||
73,
|
||||
3,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
187,
|
||||
73,
|
||||
0,
|
||||
8,
|
||||
0,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
188,
|
||||
75,
|
||||
0,
|
||||
65,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
189,
|
||||
75,
|
||||
1,
|
||||
66,
|
||||
1,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
194,
|
||||
77,
|
||||
1,
|
||||
78,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
195,
|
||||
78,
|
||||
0,
|
||||
79,
|
||||
0,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
196,
|
||||
77,
|
||||
1,
|
||||
80,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
197,
|
||||
77,
|
||||
0,
|
||||
73,
|
||||
0,
|
||||
"MODEL"
|
||||
],
|
||||
[
|
||||
200,
|
||||
77,
|
||||
2,
|
||||
8,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
203,
|
||||
77,
|
||||
2,
|
||||
65,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
207,
|
||||
79,
|
||||
0,
|
||||
73,
|
||||
1,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
210,
|
||||
80,
|
||||
0,
|
||||
73,
|
||||
2,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
216,
|
||||
65,
|
||||
0,
|
||||
66,
|
||||
0,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
217,
|
||||
81,
|
||||
0,
|
||||
82,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
218,
|
||||
8,
|
||||
0,
|
||||
81,
|
||||
1,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
219,
|
||||
75,
|
||||
0,
|
||||
81,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
220,
|
||||
75,
|
||||
1,
|
||||
81,
|
||||
2,
|
||||
"MASK"
|
||||
]
|
||||
],
|
||||
"groups": [
|
||||
{
|
||||
"id": 1,
|
||||
"title": "Mask image for inpainting.",
|
||||
"bounding": [
|
||||
36.04227828979492,
|
||||
989.7313232421875,
|
||||
278.89093017578125,
|
||||
669.3414916992188
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"title": "Convert Latents for LanPaint",
|
||||
"bounding": [
|
||||
286.0640563964844,
|
||||
714.343505859375,
|
||||
489.16796875,
|
||||
197.81044006347656
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"title": "Load Model and Set Prompts",
|
||||
"bounding": [
|
||||
-78.9311294555664,
|
||||
176.08712768554688,
|
||||
1006.1721801757812,
|
||||
514.258544921875
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"title": "Inpaint with the LanPaint KSampler",
|
||||
"bounding": [
|
||||
960.8922729492188,
|
||||
179.17588806152344,
|
||||
474.8909606933594,
|
||||
630.4742431640625
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"title": "LanPaint OutPut",
|
||||
"bounding": [
|
||||
1085.6029052734375,
|
||||
994.0775756835938,
|
||||
345.4561767578125,
|
||||
669.4969482421875
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 11,
|
||||
"title": "LanPaint",
|
||||
"bounding": [
|
||||
-262.59381103515625,
|
||||
140.46656799316406,
|
||||
1737.328857421875,
|
||||
797.4443359375
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
}
|
||||
],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"ds": {
|
||||
"scale": 0.35049389948139237,
|
||||
"offset": [
|
||||
348.866804381099,
|
||||
308.65057628971834
|
||||
]
|
||||
},
|
||||
"frontendVersion": "1.27.10",
|
||||
"node_versions": {
|
||||
"comfy-core": "0.3.18",
|
||||
"LanPaint": "0f509469ed2cd60c6032f739e282aad5dfc06166"
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 670 KiB |
File diff suppressed because it is too large
Load Diff
Binary file not shown.
|
After Width: | Height: | Size: 674 KiB |
File diff suppressed because it is too large
Load Diff
Binary file not shown.
|
After Width: | Height: | Size: 674 KiB |
File diff suppressed because it is too large
Load Diff
Binary file not shown.
|
After Width: | Height: | Size: 921 KiB |
@@ -0,0 +1,806 @@
|
||||
{
|
||||
"id": "11cce4ab-536b-4f42-a95c-0be437d04ace",
|
||||
"revision": 0,
|
||||
"last_node_id": 128,
|
||||
"last_link_id": 338,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 74,
|
||||
"type": "LanPaint_KSampler",
|
||||
"pos": [
|
||||
276.219970703125,
|
||||
179.55892944335938
|
||||
],
|
||||
"size": [
|
||||
388.97625732421875,
|
||||
572
|
||||
],
|
||||
"flags": {},
|
||||
"order": 10,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 325
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 323
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 324
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 332
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
334
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "56bd6c04e89124cd06682b304245d6ddf8b20522",
|
||||
"Node name for S&R": "LanPaint_KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
0,
|
||||
"fixed",
|
||||
20,
|
||||
4,
|
||||
"euler",
|
||||
"simple",
|
||||
1,
|
||||
5,
|
||||
"Image First",
|
||||
"LanPaint KSampler. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star ⭐️!"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 113,
|
||||
"type": "SaveImage",
|
||||
"pos": [
|
||||
807.1268310546875,
|
||||
868.395263671875
|
||||
],
|
||||
"size": [
|
||||
311.2532653808594,
|
||||
484.7096252441406
|
||||
],
|
||||
"flags": {},
|
||||
"order": 13,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 338
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23"
|
||||
},
|
||||
"widgets_values": [
|
||||
"ComfyUI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 117,
|
||||
"type": "CLIPLoader",
|
||||
"pos": [
|
||||
-824.4296875,
|
||||
177.9814910888672
|
||||
],
|
||||
"size": [
|
||||
330,
|
||||
110
|
||||
],
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
318,
|
||||
319
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "CLIPLoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
|
||||
"url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",
|
||||
"directory": "text_encoders"
|
||||
}
|
||||
],
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"qwen_2.5_vl_7b_fp8_scaled.safetensors",
|
||||
"qwen_image",
|
||||
"default"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 118,
|
||||
"type": "VAELoader",
|
||||
"pos": [
|
||||
-824.4296875,
|
||||
327.9817199707031
|
||||
],
|
||||
"size": [
|
||||
330,
|
||||
60
|
||||
],
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
329,
|
||||
335
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "VAELoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_image_vae.safetensors",
|
||||
"url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors",
|
||||
"directory": "vae"
|
||||
}
|
||||
],
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"qwen_image_vae.safetensors"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 121,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
-454.4298095703125,
|
||||
247.9816436767578
|
||||
],
|
||||
"size": [
|
||||
425.27801513671875,
|
||||
180.6060791015625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 319
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
324
|
||||
]
|
||||
}
|
||||
],
|
||||
"title": "CLIP Text Encode (Negative Prompt)",
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
" low quality, bad anatomy, extra digits, missing digits, extra limbs, missing limbs"
|
||||
],
|
||||
"color": "#322",
|
||||
"bgcolor": "#533"
|
||||
},
|
||||
{
|
||||
"id": 122,
|
||||
"type": "ModelSamplingAuraFlow",
|
||||
"pos": [
|
||||
-34.14249038696289,
|
||||
-43.64523696899414
|
||||
],
|
||||
"size": [
|
||||
300,
|
||||
58
|
||||
],
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 320
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [
|
||||
325
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "ModelSamplingAuraFlow",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
3.5
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 119,
|
||||
"type": "UNETLoader",
|
||||
"pos": [
|
||||
-824.4296875,
|
||||
37.98154830932617
|
||||
],
|
||||
"size": [
|
||||
330,
|
||||
90
|
||||
],
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
320
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "UNETLoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_image_fp8_e4m3fn.safetensors",
|
||||
"url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors",
|
||||
"directory": "diffusion_models"
|
||||
}
|
||||
],
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"qwen_image_fp8_e4m3fn.safetensors",
|
||||
"default"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 124,
|
||||
"type": "VAEEncode",
|
||||
"pos": [
|
||||
-530.8583984375,
|
||||
708.7066650390625
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 8,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "pixels",
|
||||
"type": "IMAGE",
|
||||
"link": 326
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 329
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
327
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEEncode"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 125,
|
||||
"type": "SetLatentNoiseMask",
|
||||
"pos": [
|
||||
-234.4196014404297,
|
||||
705.1629638671875
|
||||
],
|
||||
"size": [
|
||||
264.5999755859375,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 9,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 327
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 328
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
332
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "SetLatentNoiseMask"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 127,
|
||||
"type": "LanPaint_MaskBlend",
|
||||
"pos": [
|
||||
405.3840637207031,
|
||||
938.8120727539062
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
98
|
||||
],
|
||||
"flags": {},
|
||||
"order": 12,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "image1",
|
||||
"type": "IMAGE",
|
||||
"link": 336
|
||||
},
|
||||
{
|
||||
"name": "image2",
|
||||
"type": "IMAGE",
|
||||
"link": 333
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 337
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
338
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "4d3d5d17f0105b673df92da5b084cce567c9c712",
|
||||
"Node name for S&R": "LanPaint_MaskBlend"
|
||||
},
|
||||
"widgets_values": [
|
||||
9
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 126,
|
||||
"type": "VAEDecode",
|
||||
"pos": [
|
||||
115.07575225830078,
|
||||
878.4630737304688
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 11,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 334
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 335
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
333
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 123,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
-543.5358276367188,
|
||||
851.759765625
|
||||
],
|
||||
"size": [
|
||||
262.12347412109375,
|
||||
487.22296142578125
|
||||
],
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
326,
|
||||
336
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"slot_index": 1,
|
||||
"links": [
|
||||
328,
|
||||
337
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": [
|
||||
"Masked_Load_Me_in_Loader (7).png",
|
||||
"image"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 120,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
-454.86480712890625,
|
||||
41.89194869995117
|
||||
],
|
||||
"size": [
|
||||
422.84503173828125,
|
||||
164.31304931640625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 318
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
323
|
||||
]
|
||||
}
|
||||
],
|
||||
"title": "CLIP Text Encode (Positive Prompt)",
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"Cyberpunk-style Einstein portrait: He wears a sleek black coat with glowing cyan circuit patterns, silver-rimmed cybernetic glasses (lenses display faint data streams), and his hair has subtle neon blue highlights. His expression is calm, with a faint smile. Behind him: a dark, rain-washed cybercity backdrop—towering skyscrapers with flickering holographic ads, wet pavement reflecting neon pink/magenta lights. In front of him: giant, glowing white 3D text of \"LanPaint\", with electric blue energy pulses swirling around the equation. Cinematic lighting, hyper-detailed textures, rain droplets visible in the air."
|
||||
],
|
||||
"color": "#232",
|
||||
"bgcolor": "#353"
|
||||
},
|
||||
{
|
||||
"id": 128,
|
||||
"type": "MarkdownNote",
|
||||
"pos": [
|
||||
715.929931640625,
|
||||
371.1071472167969
|
||||
],
|
||||
"size": [
|
||||
300,
|
||||
190
|
||||
],
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [],
|
||||
"title": "KSampler settings",
|
||||
"properties": {},
|
||||
"widgets_values": [
|
||||
"Decrease **LanPaint_NumSteps** for faster generation. \n"
|
||||
],
|
||||
"color": "#432",
|
||||
"bgcolor": "#653"
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[
|
||||
318,
|
||||
117,
|
||||
0,
|
||||
120,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
319,
|
||||
117,
|
||||
0,
|
||||
121,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
320,
|
||||
119,
|
||||
0,
|
||||
122,
|
||||
0,
|
||||
"MODEL"
|
||||
],
|
||||
[
|
||||
323,
|
||||
120,
|
||||
0,
|
||||
74,
|
||||
1,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
324,
|
||||
121,
|
||||
0,
|
||||
74,
|
||||
2,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
325,
|
||||
122,
|
||||
0,
|
||||
74,
|
||||
0,
|
||||
"MODEL"
|
||||
],
|
||||
[
|
||||
326,
|
||||
123,
|
||||
0,
|
||||
124,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
327,
|
||||
124,
|
||||
0,
|
||||
125,
|
||||
0,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
328,
|
||||
123,
|
||||
1,
|
||||
125,
|
||||
1,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
329,
|
||||
118,
|
||||
0,
|
||||
124,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
332,
|
||||
125,
|
||||
0,
|
||||
74,
|
||||
3,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
333,
|
||||
126,
|
||||
0,
|
||||
127,
|
||||
1,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
334,
|
||||
74,
|
||||
0,
|
||||
126,
|
||||
0,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
335,
|
||||
118,
|
||||
0,
|
||||
126,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
336,
|
||||
123,
|
||||
0,
|
||||
127,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
337,
|
||||
123,
|
||||
1,
|
||||
127,
|
||||
2,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
338,
|
||||
127,
|
||||
0,
|
||||
113,
|
||||
0,
|
||||
"IMAGE"
|
||||
]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"ds": {
|
||||
"scale": 0.7162766973052638,
|
||||
"offset": [
|
||||
1084.0595529886727,
|
||||
5.084234529384386
|
||||
]
|
||||
},
|
||||
"frontendVersion": "1.25.10",
|
||||
"node_versions": {
|
||||
"comfy-core": "0.3.18",
|
||||
"LanPaint": "0f509469ed2cd60c6032f739e282aad5dfc06166"
|
||||
},
|
||||
"groupNodes": {}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 810 KiB |
@@ -0,0 +1,909 @@
|
||||
{
|
||||
"id": "11cce4ab-536b-4f42-a95c-0be437d04ace",
|
||||
"revision": 0,
|
||||
"last_node_id": 136,
|
||||
"last_link_id": 351,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 74,
|
||||
"type": "LanPaint_KSampler",
|
||||
"pos": [
|
||||
276.219970703125,
|
||||
179.55892944335938
|
||||
],
|
||||
"size": [
|
||||
388.97625732421875,
|
||||
572
|
||||
],
|
||||
"flags": {},
|
||||
"order": 12,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 336
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 334
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 335
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 345
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
347
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "56bd6c04e89124cd06682b304245d6ddf8b20522",
|
||||
"Node name for S&R": "LanPaint_KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
0,
|
||||
"fixed",
|
||||
20,
|
||||
4,
|
||||
"euler",
|
||||
"simple",
|
||||
1,
|
||||
5,
|
||||
"Image First",
|
||||
"LanPaint KSampler. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star ⭐️!"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 113,
|
||||
"type": "SaveImage",
|
||||
"pos": [
|
||||
807.1268310546875,
|
||||
868.395263671875
|
||||
],
|
||||
"size": [
|
||||
311.2532653808594,
|
||||
484.7096252441406
|
||||
],
|
||||
"flags": {},
|
||||
"order": 15,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 351
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23"
|
||||
},
|
||||
"widgets_values": [
|
||||
"ComfyUI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 123,
|
||||
"type": "CLIPLoader",
|
||||
"pos": [
|
||||
-730.1405029296875,
|
||||
183.70140075683594
|
||||
],
|
||||
"size": [
|
||||
330,
|
||||
110
|
||||
],
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
329,
|
||||
330
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "CLIPLoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
|
||||
"url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",
|
||||
"directory": "text_encoders"
|
||||
}
|
||||
],
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"qwen_2.5_vl_7b_fp8_scaled.safetensors",
|
||||
"qwen_image",
|
||||
"default"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 124,
|
||||
"type": "VAELoader",
|
||||
"pos": [
|
||||
-730.1405029296875,
|
||||
333.70147705078125
|
||||
],
|
||||
"size": [
|
||||
330,
|
||||
60
|
||||
],
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
342,
|
||||
348
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "VAELoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_image_vae.safetensors",
|
||||
"url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors",
|
||||
"directory": "vae"
|
||||
}
|
||||
],
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"qwen_image_vae.safetensors"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 125,
|
||||
"type": "UNETLoader",
|
||||
"pos": [
|
||||
-730.1405029296875,
|
||||
43.7014274597168
|
||||
],
|
||||
"size": [
|
||||
330,
|
||||
90
|
||||
],
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
331
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "UNETLoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_image_fp8_e4m3fn.safetensors",
|
||||
"url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors",
|
||||
"directory": "diffusion_models"
|
||||
}
|
||||
],
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"qwen_image_fp8_e4m3fn.safetensors",
|
||||
"default"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 127,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
-360.1405029296875,
|
||||
253.70147705078125
|
||||
],
|
||||
"size": [
|
||||
425.27801513671875,
|
||||
180.6060791015625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 330
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
335
|
||||
]
|
||||
}
|
||||
],
|
||||
"title": "CLIP Text Encode (Negative Prompt)",
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
" low quality, bad anatomy, extra digits, missing digits, extra limbs, missing limbs"
|
||||
],
|
||||
"color": "#322",
|
||||
"bgcolor": "#533"
|
||||
},
|
||||
{
|
||||
"id": 128,
|
||||
"type": "ModelSamplingAuraFlow",
|
||||
"pos": [
|
||||
60.14683151245117,
|
||||
-37.92536544799805
|
||||
],
|
||||
"size": [
|
||||
300,
|
||||
58
|
||||
],
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 331
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [
|
||||
336
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "ModelSamplingAuraFlow",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
3.5
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 126,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
-360.57550048828125,
|
||||
47.6118278503418
|
||||
],
|
||||
"size": [
|
||||
422.84503173828125,
|
||||
164.31304931640625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 329
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
334
|
||||
]
|
||||
}
|
||||
],
|
||||
"title": "CLIP Text Encode (Positive Prompt)",
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.48",
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65,
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"Cyberpunk-inspired portrait of a beautiful young woman with ethereal features: She has long, flowing silver hair with glowing purple neon streaks, wearing a form-fitting black leather jacket adorned with holographic circuit designs in electric blue, and augmented reality earrings that project faint digital fractals. Her eyes are piercing emerald green with subtle cybernetic enhancements showing data overlays, and her expression is mysterious yet alluring, with a subtle smirk. Behind her: a foggy, neon-lit futuristic alleyway—crumbling brick walls covered in vibrant graffiti and flickering LED signs, puddles on the ground reflecting turquoise and violet lights from overhead drones. Dramatic volumetric lighting, ultra-realistic details, mist particles in the air."
|
||||
],
|
||||
"color": "#232",
|
||||
"bgcolor": "#353"
|
||||
},
|
||||
{
|
||||
"id": 130,
|
||||
"type": "ImagePadForOutpaint",
|
||||
"pos": [
|
||||
-437.0110168457031,
|
||||
895.0103759765625
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
174
|
||||
],
|
||||
"flags": {},
|
||||
"order": 8,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "image",
|
||||
"type": "IMAGE",
|
||||
"link": 337
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
338,
|
||||
349
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": [
|
||||
339
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.39",
|
||||
"Node name for S&R": "ImagePadForOutpaint",
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
200,
|
||||
200,
|
||||
200,
|
||||
200,
|
||||
20
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 131,
|
||||
"type": "VAEEncode",
|
||||
"pos": [
|
||||
-455.7289123535156,
|
||||
723.4658203125
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 9,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "pixels",
|
||||
"type": "IMAGE",
|
||||
"link": 338
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 342
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
340
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEEncode"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 132,
|
||||
"type": "ThresholdMask",
|
||||
"pos": [
|
||||
-67.46508026123047,
|
||||
903.83642578125
|
||||
],
|
||||
"size": [
|
||||
270,
|
||||
58
|
||||
],
|
||||
"flags": {},
|
||||
"order": 10,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 339
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": [
|
||||
341,
|
||||
350
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.38",
|
||||
"Node name for S&R": "ThresholdMask"
|
||||
},
|
||||
"widgets_values": [
|
||||
0.010000000000000002
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 133,
|
||||
"type": "SetLatentNoiseMask",
|
||||
"pos": [
|
||||
-152.71241760253906,
|
||||
712.6437377929688
|
||||
],
|
||||
"size": [
|
||||
264.5999755859375,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 11,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 340
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 341
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
345
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "SetLatentNoiseMask"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 129,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
-789.0392456054688,
|
||||
827.515380859375
|
||||
],
|
||||
"size": [
|
||||
295,
|
||||
399
|
||||
],
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
337
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": []
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.27",
|
||||
"Node name for S&R": "LoadImage",
|
||||
"widget_ue_connectable": {}
|
||||
},
|
||||
"widgets_values": [
|
||||
"ComfyUI_07699_.png",
|
||||
"image"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 134,
|
||||
"type": "VAEDecode",
|
||||
"pos": [
|
||||
256.8516540527344,
|
||||
900.2234497070312
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 13,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 347
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 348
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
346
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 135,
|
||||
"type": "LanPaint_MaskBlend",
|
||||
"pos": [
|
||||
547.1599731445312,
|
||||
960.5724487304688
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
98
|
||||
],
|
||||
"flags": {},
|
||||
"order": 14,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "image1",
|
||||
"type": "IMAGE",
|
||||
"link": 349
|
||||
},
|
||||
{
|
||||
"name": "image2",
|
||||
"type": "IMAGE",
|
||||
"link": 346
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 350
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
351
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "4d3d5d17f0105b673df92da5b084cce567c9c712",
|
||||
"Node name for S&R": "LanPaint_MaskBlend"
|
||||
},
|
||||
"widgets_values": [
|
||||
9
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 136,
|
||||
"type": "MarkdownNote",
|
||||
"pos": [
|
||||
728.9194946289062,
|
||||
332.5254821777344
|
||||
],
|
||||
"size": [
|
||||
300,
|
||||
190
|
||||
],
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [],
|
||||
"title": "KSampler settings",
|
||||
"properties": {},
|
||||
"widgets_values": [
|
||||
"Decrease **LanPaint_NumSteps** for faster generation. \n"
|
||||
],
|
||||
"color": "#432",
|
||||
"bgcolor": "#653"
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[
|
||||
329,
|
||||
123,
|
||||
0,
|
||||
126,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
330,
|
||||
123,
|
||||
0,
|
||||
127,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
331,
|
||||
125,
|
||||
0,
|
||||
128,
|
||||
0,
|
||||
"MODEL"
|
||||
],
|
||||
[
|
||||
334,
|
||||
126,
|
||||
0,
|
||||
74,
|
||||
1,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
335,
|
||||
127,
|
||||
0,
|
||||
74,
|
||||
2,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
336,
|
||||
128,
|
||||
0,
|
||||
74,
|
||||
0,
|
||||
"MODEL"
|
||||
],
|
||||
[
|
||||
337,
|
||||
129,
|
||||
0,
|
||||
130,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
338,
|
||||
130,
|
||||
0,
|
||||
131,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
339,
|
||||
130,
|
||||
1,
|
||||
132,
|
||||
0,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
340,
|
||||
131,
|
||||
0,
|
||||
133,
|
||||
0,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
341,
|
||||
132,
|
||||
0,
|
||||
133,
|
||||
1,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
342,
|
||||
124,
|
||||
0,
|
||||
131,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
345,
|
||||
133,
|
||||
0,
|
||||
74,
|
||||
3,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
346,
|
||||
134,
|
||||
0,
|
||||
135,
|
||||
1,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
347,
|
||||
74,
|
||||
0,
|
||||
134,
|
||||
0,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
348,
|
||||
124,
|
||||
0,
|
||||
134,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
349,
|
||||
130,
|
||||
0,
|
||||
135,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
350,
|
||||
132,
|
||||
0,
|
||||
135,
|
||||
2,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
351,
|
||||
135,
|
||||
0,
|
||||
113,
|
||||
0,
|
||||
"IMAGE"
|
||||
]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"ds": {
|
||||
"scale": 0.6087272163919795,
|
||||
"offset": [
|
||||
1617.0504979084035,
|
||||
167.0583828525509
|
||||
]
|
||||
},
|
||||
"frontendVersion": "1.25.10",
|
||||
"node_versions": {
|
||||
"comfy-core": "0.3.18",
|
||||
"LanPaint": "0f509469ed2cd60c6032f739e282aad5dfc06166"
|
||||
},
|
||||
"groupNodes": {}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 1.4 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.3 MiB |
@@ -0,0 +1,735 @@
|
||||
{
|
||||
"id": "26fb90cb-eb4a-422e-97d0-8b84dd6c3302",
|
||||
"revision": 0,
|
||||
"last_node_id": 75,
|
||||
"last_link_id": 192,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 6,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
333.06903076171875,
|
||||
249.68698120117188
|
||||
],
|
||||
"size": [
|
||||
422.84503173828125,
|
||||
164.31304931640625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 81
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
184
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": [
|
||||
"1girl, blue shirt, masterpiece, high score, great score, absurdres"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 7,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [
|
||||
335.06903076171875,
|
||||
462.68701171875
|
||||
],
|
||||
"size": [
|
||||
425.27801513671875,
|
||||
180.6060791015625
|
||||
],
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 82
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
185
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": [
|
||||
"lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry, nude, NSFW"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 29,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [
|
||||
-62.627220153808594,
|
||||
407.01416015625
|
||||
],
|
||||
"size": [
|
||||
315,
|
||||
98
|
||||
],
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
183
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"slot_index": 1,
|
||||
"links": [
|
||||
81,
|
||||
82
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"slot_index": 2,
|
||||
"links": [
|
||||
84,
|
||||
157
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": [
|
||||
"animagineXL40_v4Opt.safetensors"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 48,
|
||||
"type": "SaveImage",
|
||||
"pos": [
|
||||
1091.036376953125,
|
||||
1158.526611328125
|
||||
],
|
||||
"size": [
|
||||
311.2532653808594,
|
||||
484.7096252441406
|
||||
],
|
||||
"flags": {},
|
||||
"order": 8,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 103
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23"
|
||||
},
|
||||
"widgets_values": [
|
||||
"ComfyUI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "VAEDecode",
|
||||
"pos": [
|
||||
1211.46484375,
|
||||
1065.318359375
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 187
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 84
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
103,
|
||||
189
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 20,
|
||||
"type": "LoadImage",
|
||||
"pos": [
|
||||
45.70227813720703,
|
||||
1147.2928466796875
|
||||
],
|
||||
"size": [
|
||||
262.12347412109375,
|
||||
487.22296142578125
|
||||
],
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
156,
|
||||
190
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"slot_index": 1,
|
||||
"links": [
|
||||
155,
|
||||
191
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": [
|
||||
"clipspace/clipspace-mask-2620525.399999976.png [input]",
|
||||
"image"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 75,
|
||||
"type": "SaveImage",
|
||||
"pos": [
|
||||
1845.7059326171875,
|
||||
1044.06201171875
|
||||
],
|
||||
"size": [
|
||||
311.2532653808594,
|
||||
484.7096252441406
|
||||
],
|
||||
"flags": {},
|
||||
"order": 10,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 188
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23"
|
||||
},
|
||||
"widgets_values": [
|
||||
"ComfyUI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 73,
|
||||
"type": "LanPaint_KSampler",
|
||||
"pos": [
|
||||
996.4982299804688,
|
||||
299.599365234375
|
||||
],
|
||||
"size": [
|
||||
413.6495666503906,
|
||||
572
|
||||
],
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 183
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 184
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 185
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 186
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
187
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "56bd6c04e89124cd06682b304245d6ddf8b20522",
|
||||
"Node name for S&R": "LanPaint_KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
0,
|
||||
"fixed",
|
||||
30,
|
||||
5,
|
||||
"euler",
|
||||
"karras",
|
||||
1,
|
||||
5,
|
||||
"Image First",
|
||||
"LanPaint KSampler. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star ⭐️!"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 74,
|
||||
"type": "LanPaint_MaskBlend",
|
||||
"pos": [
|
||||
1512.2730712890625,
|
||||
1176.3270263671875
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
98
|
||||
],
|
||||
"flags": {},
|
||||
"order": 9,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "image1",
|
||||
"type": "IMAGE",
|
||||
"link": 190
|
||||
},
|
||||
{
|
||||
"name": "image2",
|
||||
"type": "IMAGE",
|
||||
"link": 189
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 191
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [
|
||||
188
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "LanPaint",
|
||||
"ver": "4d3d5d17f0105b673df92da5b084cce567c9c712",
|
||||
"Node name for S&R": "LanPaint_MaskBlend"
|
||||
},
|
||||
"widgets_values": [
|
||||
9
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 66,
|
||||
"type": "SetLatentNoiseMask",
|
||||
"pos": [
|
||||
480.30780029296875,
|
||||
821.3880004882812
|
||||
],
|
||||
"size": [
|
||||
264.5999755859375,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 192
|
||||
},
|
||||
{
|
||||
"name": "mask",
|
||||
"type": "MASK",
|
||||
"link": 155
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
186
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "SetLatentNoiseMask"
|
||||
},
|
||||
"widgets_values": []
|
||||
},
|
||||
{
|
||||
"id": 65,
|
||||
"type": "VAEEncode",
|
||||
"pos": [
|
||||
206.43878173828125,
|
||||
818.9985961914062
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
],
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "pixels",
|
||||
"type": "IMAGE",
|
||||
"link": 156
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 157
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"slot_index": 0,
|
||||
"links": [
|
||||
192
|
||||
]
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.3.23",
|
||||
"Node name for S&R": "VAEEncode"
|
||||
},
|
||||
"widgets_values": []
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[
|
||||
81,
|
||||
29,
|
||||
1,
|
||||
6,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
82,
|
||||
29,
|
||||
1,
|
||||
7,
|
||||
0,
|
||||
"CLIP"
|
||||
],
|
||||
[
|
||||
84,
|
||||
29,
|
||||
2,
|
||||
8,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
103,
|
||||
8,
|
||||
0,
|
||||
48,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
155,
|
||||
20,
|
||||
1,
|
||||
66,
|
||||
1,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
156,
|
||||
20,
|
||||
0,
|
||||
65,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
157,
|
||||
29,
|
||||
2,
|
||||
65,
|
||||
1,
|
||||
"VAE"
|
||||
],
|
||||
[
|
||||
183,
|
||||
29,
|
||||
0,
|
||||
73,
|
||||
0,
|
||||
"MODEL"
|
||||
],
|
||||
[
|
||||
184,
|
||||
6,
|
||||
0,
|
||||
73,
|
||||
1,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
185,
|
||||
7,
|
||||
0,
|
||||
73,
|
||||
2,
|
||||
"CONDITIONING"
|
||||
],
|
||||
[
|
||||
186,
|
||||
66,
|
||||
0,
|
||||
73,
|
||||
3,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
187,
|
||||
73,
|
||||
0,
|
||||
8,
|
||||
0,
|
||||
"LATENT"
|
||||
],
|
||||
[
|
||||
188,
|
||||
74,
|
||||
0,
|
||||
75,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
189,
|
||||
8,
|
||||
0,
|
||||
74,
|
||||
1,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
190,
|
||||
20,
|
||||
0,
|
||||
74,
|
||||
0,
|
||||
"IMAGE"
|
||||
],
|
||||
[
|
||||
191,
|
||||
20,
|
||||
1,
|
||||
74,
|
||||
2,
|
||||
"MASK"
|
||||
],
|
||||
[
|
||||
192,
|
||||
65,
|
||||
0,
|
||||
66,
|
||||
0,
|
||||
"LATENT"
|
||||
]
|
||||
],
|
||||
"groups": [
|
||||
{
|
||||
"id": 1,
|
||||
"title": "Mask image for inpainting.",
|
||||
"bounding": [
|
||||
36.04227828979492,
|
||||
989.7313232421875,
|
||||
278.89093017578125,
|
||||
669.3414916992188
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"title": "Convert Latents for LanPaint",
|
||||
"bounding": [
|
||||
286.0640563964844,
|
||||
714.343505859375,
|
||||
489.16796875,
|
||||
197.81044006347656
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"title": "Load Model and Set Prompts",
|
||||
"bounding": [
|
||||
-78.9311294555664,
|
||||
176.08712768554688,
|
||||
1006.1721801757812,
|
||||
514.258544921875
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"title": "Inpaint with the LanPaint KSampler",
|
||||
"bounding": [
|
||||
960.8922729492188,
|
||||
179.17588806152344,
|
||||
474.8909606933594,
|
||||
630.4742431640625
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"title": "LanPaint OutPut",
|
||||
"bounding": [
|
||||
1085.6029052734375,
|
||||
994.0775756835938,
|
||||
345.4561767578125,
|
||||
669.4969482421875
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 11,
|
||||
"title": "LanPaint",
|
||||
"bounding": [
|
||||
-262.59381103515625,
|
||||
140.46656799316406,
|
||||
1737.328857421875,
|
||||
797.4443359375
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
},
|
||||
{
|
||||
"id": 13,
|
||||
"title": "Paste back the original to preserve it exactly, if you want",
|
||||
"bounding": [
|
||||
1491.586181640625,
|
||||
984.3547973632812,
|
||||
749.66455078125,
|
||||
637.360595703125
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
"flags": {}
|
||||
}
|
||||
],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"ds": {
|
||||
"scale": 0.6209213230591556,
|
||||
"offset": [
|
||||
850.0803535605011,
|
||||
86.6432096141053
|
||||
]
|
||||
},
|
||||
"frontendVersion": "1.25.10",
|
||||
"node_versions": {
|
||||
"comfy-core": "0.3.18",
|
||||
"LanPaint": "0f509469ed2cd60c6032f739e282aad5dfc06166"
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 683 KiB |
File diff suppressed because it is too large
Load Diff
Binary file not shown.
|
After Width: | Height: | Size: 687 KiB |
File diff suppressed because it is too large
Load Diff
Binary file not shown.
|
Before Width: | Height: | Size: 1.7 MiB After Width: | Height: | Size: 1.7 MiB |
Binary file not shown.
|
Before Width: | Height: | Size: 1.9 MiB After Width: | Height: | Size: 1.9 MiB |
Binary file not shown.
|
Before Width: | Height: | Size: 1.3 MiB After Width: | Height: | Size: 1.3 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.4 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.4 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.6 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.6 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.4 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.6 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.6 MiB |
Binary file not shown.
Binary file not shown.
|
After Width: | Height: | Size: 221 KiB |
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
|
After Width: | Height: | Size: 141 KiB |
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
|
After Width: | Height: | Size: 1.3 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.6 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.6 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 301 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 461 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 4.1 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 5.8 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 801 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 551 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 6.2 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 4.8 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 4.1 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 8.5 MiB |
+1
-1
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "LanPaint"
|
||||
version = "1.3.0"
|
||||
version = "1.4.3"
|
||||
description = "Achieve seamless inpainting results without needing a specialized inpainting model."
|
||||
authors = [
|
||||
{name = "LanPaint", email = "czhengac@connect.ust.hk"}
|
||||
|
||||
@@ -13,6 +13,7 @@ class LanPaint():
|
||||
self.friction = Friction
|
||||
self.chara_beta = Beta
|
||||
self.img_dim_size = None
|
||||
|
||||
def add_none_dims(self, array):
|
||||
# Create a tuple with ':' for the first dimension and 'None' repeated num_nones times
|
||||
index = (slice(None),) + (None,) * (self.img_dim_size-1)
|
||||
@@ -25,6 +26,8 @@ class LanPaint():
|
||||
self.img_dim_size = len(x.shape)
|
||||
self.latent_image = latent_image
|
||||
self.noise = noise
|
||||
if torch.mean(torch.abs(self.noise)) < 1e-8:
|
||||
self.noise = torch.randn_like(self.noise)
|
||||
if n_steps is None:
|
||||
n_steps = self.n_steps
|
||||
return self.LanPaint(x, sigma, latent_mask, current_times, n_steps, model_options, seed, self.IS_FLUX, self.IS_FLOW)
|
||||
@@ -36,8 +39,13 @@ class LanPaint():
|
||||
step_size = self.add_none_dims(step_size)
|
||||
# self.inner_model.inner_model.scale_latent_inpaint returns variance exploding x_t values
|
||||
# This is the replace step
|
||||
x = x * (1 - latent_mask) + self.inner_model.inner_model.scale_latent_inpaint(x=x, sigma=sigma, noise=self.noise, latent_image=self.latent_image)* latent_mask
|
||||
def scale_latent_inpaint(x, sigma, noise, latent_image):
|
||||
return self.inner_model.inner_model.model_sampling.noise_scaling(sigma.reshape([sigma.shape[0]] + [1] * (len(noise.shape) - 1)), noise, latent_image)
|
||||
|
||||
x = x * (1 - latent_mask) + scale_latent_inpaint(x=x, sigma=sigma, noise=self.noise, latent_image=self.latent_image)* latent_mask
|
||||
|
||||
|
||||
|
||||
if IS_FLUX or IS_FLOW:
|
||||
x_t = x * ( self.add_none_dims(abt)**0.5 + (1-self.add_none_dims(abt))**0.5 )
|
||||
else:
|
||||
@@ -56,7 +64,7 @@ class LanPaint():
|
||||
############ LanPaint Iterations End ###############
|
||||
# out is x_0
|
||||
out, _ = self.inner_model(x, sigma, model_options=model_options, seed=seed)
|
||||
out = out * (1-latent_mask) + self.latent_image * latent_mask
|
||||
#out = out * (1-latent_mask) + self.latent_image * latent_mask
|
||||
return out
|
||||
|
||||
def score_model(self, x_t, y, mask, abt, sigma, tflow, model_options, seed):
|
||||
|
||||
+101
-61
@@ -11,19 +11,57 @@ from comfy.samplers import *
|
||||
from comfy.model_base import ModelType
|
||||
from .utils import *
|
||||
from .lanpaint import LanPaint
|
||||
from comfy.model_base import WAN22
|
||||
|
||||
|
||||
def reshape_mask(input_mask, output_shape):
|
||||
def reshape_mask(input_mask, output_shape,video_inpainting=False):
|
||||
dims = len(output_shape) - 2
|
||||
|
||||
print('output shape',output_shape)
|
||||
scale_mode = "nearest-exact"
|
||||
mask = torch.nn.functional.interpolate(input_mask, size=output_shape[-2:], mode=scale_mode)
|
||||
if mask.shape[1] < output_shape[1]:
|
||||
mask = mask.repeat((1, output_shape[1]) + (1,) * dims)[:,:output_shape[1]]
|
||||
mask = repeat_to_batch_size(mask, output_shape[0])
|
||||
print('input mask',input_mask.shape,type(input_mask),torch.max(input_mask),torch.min(input_mask))
|
||||
print('target output_shape',output_shape)
|
||||
print('input_mask.ndim:', input_mask.ndim, 'output_shape len:', len(output_shape))
|
||||
|
||||
# Handle video case with temporal dimension
|
||||
if video_inpainting: # Video case: (batch, channels, frames, height, width)
|
||||
target_frames = output_shape[2]
|
||||
target_height, target_width = output_shape[-2:]
|
||||
|
||||
print('Video case - input_mask initial shape:', input_mask.shape)
|
||||
|
||||
# First reshape input_mask to have proper dimensions for video processing
|
||||
# Assume input is (frames, channels, height, width) -> (1, channels, frames, height, width)
|
||||
input_mask = input_mask.permute(1, 0, 2, 3).unsqueeze(0)
|
||||
print('Video case - input_mask after reshaping:', input_mask.shape)
|
||||
# Ensure we have the correct 5D shape: (batch, channels, frames, height, width)
|
||||
batch_size, channels, frames, height, width = input_mask.shape
|
||||
print('Video case - dimensions: batch_size={}, channels={}, frames={}, height={}, width={}'.format(batch_size, channels, frames, height, width))
|
||||
print('Video case - target size:', (target_frames, target_height, target_width))
|
||||
|
||||
# 3D nearest-exact interpolation: (batch, channels, frames, height, width) -> (batch, channels, target_frames, target_height, target_width)
|
||||
temp_mask = torch.nn.functional.interpolate(
|
||||
input_mask,
|
||||
size=(target_frames, target_height, target_width),
|
||||
mode=scale_mode,
|
||||
)
|
||||
|
||||
# temp_mask is already 5D: (batch, channels, target_frames, target_height, target_width)
|
||||
mask = temp_mask
|
||||
print('after mask',mask.shape)
|
||||
# Handle channel dimension expansion if needed
|
||||
if mask.shape[1] < output_shape[1]:
|
||||
mask = mask.repeat(1, output_shape[1], 1, 1, 1)[:, :output_shape[1]]
|
||||
# Handle batch dimension
|
||||
mask = repeat_to_batch_size(mask, output_shape[0])
|
||||
else: # Original 2D image case
|
||||
mask = torch.nn.functional.interpolate(input_mask, size=output_shape[-2:], mode=scale_mode)
|
||||
if mask.shape[1] < output_shape[1]:
|
||||
mask = mask.repeat((1, output_shape[1]) + (1,) * dims)[:,:output_shape[1]]
|
||||
mask = repeat_to_batch_size(mask, output_shape[0])
|
||||
|
||||
print('resize mask',mask.shape,type(mask),torch.max(mask),torch.min(mask))
|
||||
return mask
|
||||
def prepare_mask(noise_mask, shape, device):
|
||||
return reshape_mask(noise_mask, shape).to(device)
|
||||
def prepare_mask(noise_mask, shape, device,video_inpainting=False):
|
||||
return reshape_mask(noise_mask, shape,video_inpainting).to(device)
|
||||
def sampling_function_LanPaint(model, x, timestep, uncond, cond, cond_scale, cond_scale_BIG, model_options={}, seed=None):
|
||||
if math.isclose(cond_scale, 1.0) and model_options.get("disable_cfg1_optimization", False) == False:
|
||||
uncond_ = None
|
||||
@@ -42,13 +80,18 @@ def sampling_function_LanPaint(model, x, timestep, uncond, cond, cond_scale, con
|
||||
|
||||
|
||||
class CFGGuider_LanPaint:
|
||||
def outer_sample(self, noise, latent_image, sampler, sigmas, denoise_mask=None, callback=None, disable_pbar=False, seed=None):
|
||||
def outer_sample(self, noise, latent_image, sampler, sigmas, denoise_mask=None, callback=None, disable_pbar=False, seed=None, **kwargs):
|
||||
print("CFGGuider outer_sample")
|
||||
self.inner_model, self.conds, self.loaded_models = comfy.sampler_helpers.prepare_sampling(self.model_patcher, noise.shape, self.conds, self.model_options)
|
||||
device = self.model_patcher.load_device
|
||||
|
||||
if isinstance(self.inner_model, WAN22):
|
||||
print("WAN22 detected")
|
||||
self.inner_model.extra_conds = super(WAN22, self.inner_model).extra_conds
|
||||
|
||||
if denoise_mask is not None:
|
||||
denoise_mask = prepare_mask(denoise_mask, noise.shape, device)
|
||||
video_inpainting = self.model_options.get("video_inpainting", False)
|
||||
denoise_mask = prepare_mask(denoise_mask, noise.shape, device, video_inpainting)
|
||||
|
||||
noise = noise.to(device)
|
||||
latent_image = latent_image.to(device)
|
||||
@@ -57,7 +100,7 @@ class CFGGuider_LanPaint:
|
||||
|
||||
try:
|
||||
self.model_patcher.pre_run()
|
||||
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
|
||||
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, **kwargs)
|
||||
finally:
|
||||
self.model_patcher.cleanup()
|
||||
|
||||
@@ -75,8 +118,8 @@ class KSamplerX0Inpaint:
|
||||
def __init__(self, model, sigmas):
|
||||
self.inner_model = model
|
||||
self.sigmas = sigmas
|
||||
self.model_sigmas = torch.cat( (torch.tensor([0.], device = sigmas.device) , torch.tensor( self.inner_model.model_patcher.get_model_object("model_sampling").sigmas, device = sigmas.device) ) )
|
||||
self.model_sigmas = torch.tensor( self.model_sigmas, dtype = self.sigmas.dtype )
|
||||
#self.model_sigmas = torch.cat( (torch.tensor([0.], device = sigmas.device) , torch.tensor( self.inner_model.model_patcher.get_model_object("model_sampling").sigmas, device = sigmas.device) ) )
|
||||
#self.model_sigmas = torch.tensor( self.model_sigmas, dtype = self.sigmas.dtype )
|
||||
def __call__(self, x, sigma, denoise_mask, model_options={}, seed=None,**kwargs):
|
||||
### For 1.5 and XL model
|
||||
# x is x_t in the notation of variance exploding diffusion model, x_t = x_0 + sigma * noise
|
||||
@@ -86,7 +129,9 @@ class KSamplerX0Inpaint:
|
||||
|
||||
IS_FLUX = self.inner_model.inner_model.model_type == ModelType.FLUX
|
||||
IS_FLOW = self.inner_model.inner_model.model_type == ModelType.FLOW
|
||||
|
||||
#print("model class", type(self.inner_model.inner_model))
|
||||
#print("model type", self.inner_model.inner_model.model_type, "IS_FLUX", IS_FLUX, "IS_FLOW", IS_FLOW)
|
||||
#print("sigma", torch.mean(sigma).item(), torch.min(sigma).item(), torch.max(sigma).item())
|
||||
# unify the notations into variance exploding diffusion model
|
||||
if IS_FLUX or IS_FLOW:
|
||||
Flow_t = sigma
|
||||
@@ -245,6 +290,7 @@ class LanPaint_KSampler():
|
||||
"LanPaint_NumSteps": ("INT", {"default": 5, "min": 0, "max": 100, "tooltip": "The number of steps for the Langevin dynamics, representing the turns of thinking per step."}),
|
||||
"LanPaint_PromptMode": (["Image First", "Prompt First"], {"tooltip": "Image First: emphasis image quality, Prompt First: emphasis prompt following"}),
|
||||
"LanPaint_Info": ("STRING", {"default": "LanPaint KSampler. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star ⭐️!", "multiline": True}),
|
||||
"Inpainting_mode": (["🖼️ Image Inpainting", "🎬 Video Inpainting"], {"default": "🖼️ Image Inpainting", "tooltip": "Choose Image mode for photos or Video mode for video frames with temporal consistency"}),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -255,9 +301,9 @@ class LanPaint_KSampler():
|
||||
CATEGORY = "sampling"
|
||||
DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image."
|
||||
|
||||
def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0, LanPaint_NumSteps=5, LanPaint_PromptMode = "Image First", LanPaint_Info=""):
|
||||
def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0, LanPaint_NumSteps=5, LanPaint_PromptMode="Image First", LanPaint_Info="",Inpainting_mode="🖼️ Image Inpainting"):
|
||||
|
||||
model.LanPaint_StepSize = 0.15
|
||||
model.LanPaint_StepSize = 0.2
|
||||
model.LanPaint_Lambda = 16.0
|
||||
model.LanPaint_Beta = 1.
|
||||
model.LanPaint_NumSteps = LanPaint_NumSteps
|
||||
@@ -267,6 +313,13 @@ class LanPaint_KSampler():
|
||||
model.LanPaint_cfg_BIG = cfg
|
||||
else:
|
||||
model.LanPaint_cfg_BIG = 0*cfg - 0.5
|
||||
|
||||
# Convert inpainting_mode to boolean for video_inpainting
|
||||
video_inpainting = (Inpainting_mode == "🎬 Video Inpainting")
|
||||
if not hasattr(model, 'model_options') or model.model_options is None:
|
||||
model.model_options = {}
|
||||
model.model_options["video_inpainting"] = video_inpainting
|
||||
|
||||
with override_sample_function():
|
||||
return nodes.common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
|
||||
class LanPaint_KSamplerAdvanced:
|
||||
@@ -288,12 +341,13 @@ class LanPaint_KSamplerAdvanced:
|
||||
"return_with_leftover_noise": (["disable", "enable"], ),
|
||||
"LanPaint_NumSteps": ("INT", {"default": 5, "min": 0, "max": 100, "tooltip": "The number of steps for the Langevin dynamics, representing the turns of thinking per step."}),
|
||||
"LanPaint_Lambda": ("FLOAT", {"default": 16., "min": 0.1, "max": 50.0, "step": 0.1, "round": 0.1, "tooltip": "The bidirectional guidance scale. Higher values align with known regions more closely, but may result in instability."}),
|
||||
"LanPaint_StepSize": ("FLOAT", {"default": 0.15, "min": 0.0001, "max": 1., "step": 0.01, "round": 0.001, "tooltip": "The step size for the Langevin dynamics. Higher values result in faster convergence but may be unstable."}),
|
||||
"LanPaint_StepSize": ("FLOAT", {"default": 0.2, "min": 0.0001, "max": 1., "step": 0.01, "round": 0.001, "tooltip": "The step size for the Langevin dynamics. Higher values result in faster convergence but may be unstable."}),
|
||||
"LanPaint_Beta": ("FLOAT", {"default": 1., "min": 0.0001, "max": 5, "step": 0.1, "round": 0.1, "tooltip": "The step size ratio between masked / unmasked regions. Lower value can compensate high values of LanPaint_Lambda."}),
|
||||
"LanPaint_Friction": ("FLOAT", {"default": 15, "min": 0., "max": 50.0, "step": 0.1, "round": 0.1, "tooltip": "The friction parameter for fast langevin, lower values result in faster convergence but may be unstable."}),
|
||||
"LanPaint_PromptMode": (["Image First", "Prompt First"], {"tooltip": "Image First: emphasis image quality, Prompt First: emphasis prompt following"}),
|
||||
"LanPaint_EarlyStop": ("INT", {"default": 1, "min": 0, "max": 10000, "tooltip": "The number of steps to stop the LanPaint early, useful for preventing the image from irregular patterns."}),
|
||||
"LanPaint_Info": ("STRING", {"default": "LanPaint KSampler Adv. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star ⭐️!", "multiline": True}),
|
||||
"Inpainting_mode": (["🖼️ Image Inpainting", "🎬 Video Inpainting"], {"default": "🖼️ Image Inpainting", "tooltip": "Choose Image mode for photos or Video mode for video frames with temporal consistency"}),
|
||||
},
|
||||
}
|
||||
|
||||
@@ -302,7 +356,7 @@ class LanPaint_KSamplerAdvanced:
|
||||
|
||||
CATEGORY = "sampling"
|
||||
|
||||
def sample(self, model, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, start_at_step, end_at_step, return_with_leftover_noise, denoise=1.0, LanPaint_StepSize=0.05, LanPaint_Lambda=5, LanPaint_Beta=1, LanPaint_NumSteps=5, LanPaint_Friction=5, LanPaint_PromptMode = "Image First", LanPaint_EarlyStop = 1, LanPaint_Info=""):
|
||||
def sample(self, model, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, start_at_step, end_at_step, return_with_leftover_noise, LanPaint_NumSteps=5, LanPaint_Lambda=16.0, LanPaint_StepSize=0.2, LanPaint_Beta=1.0, LanPaint_Friction=15.0, LanPaint_PromptMode="Image First", LanPaint_EarlyStop=1, LanPaint_Info="", Inpainting_mode="🖼️ Image Inpainting"):
|
||||
force_full_denoise = True
|
||||
if return_with_leftover_noise == "enable":
|
||||
force_full_denoise = False
|
||||
@@ -319,9 +373,15 @@ class LanPaint_KSamplerAdvanced:
|
||||
model.LanPaint_cfg_BIG = cfg
|
||||
else:
|
||||
model.LanPaint_cfg_BIG = 0*cfg - 0.5
|
||||
|
||||
# Convert inpainting_mode to boolean for video_inpainting
|
||||
video_inpainting = (Inpainting_mode == "🎬 Video Inpainting")
|
||||
if not hasattr(model, 'model_options') or model.model_options is None:
|
||||
model.model_options = {}
|
||||
model.model_options["video_inpainting"] = video_inpainting
|
||||
|
||||
with override_sample_function():
|
||||
return nodes.common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)
|
||||
return nodes.common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)
|
||||
|
||||
|
||||
class MaskBlend:
|
||||
@@ -416,7 +476,7 @@ class LanPaint_SamplerCustom:
|
||||
CATEGORY = "sampling/custom_sampling"
|
||||
|
||||
def sample(self, model, sampler, sigmas, add_noise, noise_seed, cfg, positive, negative, latent_image, LanPaint_NumSteps, LanPaint_PromptMode, LanPaint_Info=""):
|
||||
model.LanPaint_StepSize = 0.15
|
||||
model.LanPaint_StepSize = 0.2
|
||||
model.LanPaint_Lambda = 16.0
|
||||
model.LanPaint_Beta = 1.
|
||||
model.LanPaint_NumSteps = LanPaint_NumSteps
|
||||
@@ -461,16 +521,13 @@ class LanPaint_SamplerCustomAdvanced:
|
||||
def INPUT_TYPES(s):
|
||||
return {"required":
|
||||
{"noise": ("NOISE",),
|
||||
"guider": ("GUIDER",),
|
||||
"sampler": ("SAMPLER",),
|
||||
"sigmas": ("SIGMAS",),
|
||||
"latent_image": ("LATENT",),
|
||||
"start_at_step": ("INT", {"default": 0, "min": 0, "max": 10000}),
|
||||
"end_at_step": ("INT", {"default": 10000, "min": 0, "max": 10000}),
|
||||
"return_with_leftover_noise": (["disable", "enable"], ),
|
||||
"guider": ("GUIDER", ),
|
||||
"sampler": ("SAMPLER", ),
|
||||
"sigmas": ("SIGMAS", ),
|
||||
"latent_image": ("LATENT", ),
|
||||
"LanPaint_NumSteps": ("INT", {"default": 5, "min": 0, "max": 100, "tooltip": "Number of steps for Langevin dynamics, representing turns of thinking per step."}),
|
||||
"LanPaint_Lambda": ("FLOAT", {"default": 16.0, "min": 0.1, "max": 50.0, "step": 0.1, "tooltip": "Bidirectional guidance scale. Higher values align with known regions but may cause instability."}),
|
||||
"LanPaint_StepSize": ("FLOAT", {"default": 0.15, "min": 0.0001, "max": 1.0, "step": 0.01, "tooltip": "Step size for Langevin dynamics. Higher values speed convergence but may be unstable."}),
|
||||
"LanPaint_StepSize": ("FLOAT", {"default": 0.2, "min": 0.0001, "max": 1.0, "step": 0.01, "tooltip": "Step size for Langevin dynamics. Higher values speed convergence but may be unstable."}),
|
||||
"LanPaint_Beta": ("FLOAT", {"default": 1.0, "min": 0.0001, "max": 5.0, "step": 0.1, "tooltip": "Step size ratio between masked/unmasked regions. Lower values balance high Lambda."}),
|
||||
"LanPaint_Friction": ("FLOAT", {"default": 15.0, "min": 0.0, "max": 50.0, "step": 0.1, "tooltip": "Friction parameter for fast Langevin. Lower values speed convergence but may be unstable."}),
|
||||
"LanPaint_PromptMode": (["Image First", "Prompt First"], {"tooltip": "Image First: prioritizes image quality; Prompt First: prioritizes prompt adherence."}),
|
||||
@@ -479,17 +536,14 @@ class LanPaint_SamplerCustomAdvanced:
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("LATENT", "LATENT")
|
||||
RETURN_TYPES = ("LATENT","LATENT")
|
||||
RETURN_NAMES = ("output", "denoised_output")
|
||||
|
||||
FUNCTION = "sample"
|
||||
|
||||
CATEGORY = "sampling/custom_sampling"
|
||||
|
||||
def sample(self, noise, guider, sampler, sigmas, latent_image, start_at_step, end_at_step, return_with_leftover_noise, LanPaint_NumSteps, LanPaint_Lambda, LanPaint_StepSize, LanPaint_Beta, LanPaint_Friction, LanPaint_PromptMode, LanPaint_EarlyStop, LanPaint_Info=""):
|
||||
force_full_denoise = True
|
||||
if end_at_step <= start_at_step:
|
||||
raise ValueError('end_at_step must be larger than start_at_step')
|
||||
if return_with_leftover_noise == "enable":
|
||||
force_full_denoise = False
|
||||
def sample(self, noise, guider, sampler, sigmas, latent_image, LanPaint_NumSteps, LanPaint_Lambda, LanPaint_StepSize, LanPaint_Beta, LanPaint_Friction, LanPaint_PromptMode, LanPaint_EarlyStop, LanPaint_Info=""):
|
||||
model = guider.model_patcher
|
||||
model.LanPaint_StepSize = LanPaint_StepSize
|
||||
model.LanPaint_Lambda = LanPaint_Lambda
|
||||
@@ -502,47 +556,33 @@ class LanPaint_SamplerCustomAdvanced:
|
||||
else:
|
||||
model.LanPaint_cfg_BIG = 0 * guider.cfg - 0.5
|
||||
with override_sample_function():
|
||||
latent = latent_image.copy()
|
||||
latent_image_samples = latent["samples"]
|
||||
latent_image_samples = comfy.sample.fix_empty_latent_channels(model, latent_image_samples)
|
||||
latent["samples"] = latent_image_samples
|
||||
latent = latent_image
|
||||
latent_image = latent["samples"]
|
||||
latent = latent.copy()
|
||||
latent_image = comfy.sample.fix_empty_latent_channels(guider.model_patcher, latent_image)
|
||||
latent["samples"] = latent_image
|
||||
|
||||
noise_mask = None
|
||||
if "noise_mask" in latent:
|
||||
noise_mask = latent["noise_mask"]
|
||||
|
||||
# From base comfy samplers.py
|
||||
if end_at_step is not None and end_at_step < (len(sigmas) - 1):
|
||||
sigmas = sigmas[:end_at_step + 1]
|
||||
if force_full_denoise:
|
||||
sigmas[-1] = 0
|
||||
|
||||
if start_at_step is not None:
|
||||
if start_at_step < (len(sigmas) - 1):
|
||||
sigmas = sigmas[start_at_step:]
|
||||
else:
|
||||
if latent_image is not None:
|
||||
return latent_image
|
||||
else:
|
||||
return torch.zeros_like(noise)
|
||||
|
||||
x0_output = {}
|
||||
callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output)
|
||||
callback = latent_preview.prepare_callback(guider.model_patcher, sigmas.shape[-1] - 1, x0_output)
|
||||
|
||||
disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
|
||||
|
||||
samples = guider.sample( noise.generate_noise(latent), latent_image_samples, sampler, sigmas, denoise_mask=noise_mask, callback=callback,disable_pbar=disable_pbar, seed=noise.seed
|
||||
)
|
||||
|
||||
samples = guider.sample(noise.generate_noise(latent), latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise.seed)
|
||||
samples = samples.to(comfy.model_management.intermediate_device())
|
||||
|
||||
out = latent.copy()
|
||||
out["samples"] = samples
|
||||
if "x0" in x0_output:
|
||||
out_denoised = latent.copy()
|
||||
out_denoised["samples"] = model.model.process_latent_out(x0_output["x0"].cpu())
|
||||
out_denoised["samples"] = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu())
|
||||
else:
|
||||
out_denoised = out
|
||||
return (out, out_denoised)
|
||||
|
||||
|
||||
# A dictionary that contains all nodes you want to export with their names
|
||||
# NOTE: names should be globally unique
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
|
||||
Reference in New Issue
Block a user