5 Commits

Author SHA1 Message Date
copilot-swe-agent[bot]
2b79122684 Add .github/copilot-instructions.md with repository-specific Copilot guidance
Agent-Logs-Url: https://github.com/jags111/efficiency-nodes-comfyui/sessions/7920bef6-9e7c-49ec-9b3a-6be00166c651

Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>
2026-03-31 23:47:52 +00:00
copilot-swe-agent[bot]
4dbcfc8f4f Initial plan 2026-03-31 23:45:49 +00:00
VALADI K JAGANATHAN
835bbe1462 Bump version from 1.0.8 to 1.0.9 2026-03-31 19:43:33 -04:00
izum
65b2c0361f 优化encode_token_weights函数以保持CLIP选项与ComfyUI核心编码路径一致 (#377)
seems a additional update
2026-03-31 19:42:18 -04:00
scriptsec
cc91287d72 Fix issue #300: Efficiency Nodes for ComfyUI Version 2.0 (documentation) (#378)
Done after review and if any issues will resolve later...Co-authored-by: Xiao Duan <xiaoduan@openclaw.ai>
2026-03-31 19:41:08 -04:00
5 changed files with 411 additions and 13 deletions

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# Copilot Instructions for efficiency-nodes-comfyui
## Project Overview
This repository contains **Efficiency Nodes for ComfyUI** — a collection of custom nodes for [ComfyUI](https://github.com/comfyanonymous/ComfyUI) that streamline AI image generation workflows and reduce total node count. The project is maintained by jags111 and is a fork/continuation of the original work by Luciano Cirino.
## Repository Structure
```
efficiency-nodes-comfyui/
├── efficiency_nodes.py # Main file containing all node class definitions
├── tsc_utils.py # Utility functions (model caching, loading, helpers)
├── __init__.py # Package entry point, registers WEB_DIRECTORY and exports
├── pyproject.toml # Project metadata and ComfyUI registry config
├── requirements.txt # Python dependencies
├── arial.ttf # Font used for image annotation nodes
├── node_settings.json # Default node settings
├── py/ # Helper modules (samplers, encoders, upscalers)
│ ├── bnk_adv_encode.py # Advanced CLIP text encoding
│ ├── bnk_tiled_samplers.py
│ ├── city96_latent_upscaler.py
│ ├── smZ_cfg_denoiser.py
│ └── ...
├── js/ # Frontend JavaScript for ComfyUI web interface
│ ├── appearance.js # Node color themes
│ ├── seedcontrol.js # Seed widget behavior
│ ├── widgethider.js # Dynamic widget visibility
│ └── node_options/ # Right-click context menu additions
└── workflows/ # Example workflow JSON files
```
## Architecture & Key Conventions
### Node Class Pattern
All nodes follow the ComfyUI node pattern:
```python
class TSC_MyNode:
@classmethod
def INPUT_TYPES(cls):
return {
"required": { "param": ("TYPE", {"default": value}) },
"optional": { "opt_param": ("TYPE",) },
"hidden": { "my_unique_id": "UNIQUE_ID" }
}
RETURN_TYPES = ("TYPE1", "TYPE2",)
RETURN_NAMES = ("name1", "name2",)
FUNCTION = "execute_method"
CATEGORY = "Efficiency Nodes/Category"
def execute_method(self, param, opt_param=None, my_unique_id=None):
# implementation
return (result1, result2,)
```
- All node classes are prefixed with `TSC_`
- `FUNCTION` must match the name of the method that executes the node
- `CATEGORY` uses the `"Efficiency Nodes/..."` namespace for grouping in the ComfyUI UI
- Nodes with side effects (saving images, printing) should set `OUTPUT_NODE = True`
### Node Registration
Nodes are registered at the bottom of `efficiency_nodes.py` by updating `NODE_CLASS_MAPPINGS`:
```python
NODE_CLASS_MAPPINGS = {
"KSampler (Efficient)": TSC_KSampler,
"Efficient Loader": TSC_EfficientLoader,
# ...
}
```
Optional features (requiring extra packages like `simpleeval` or `animatediff`) are wrapped in `try/except ImportError` blocks and registered conditionally.
### Model Caching (tsc_utils.py)
The `loaded_objects` and `last_helds` globals in `tsc_utils.py` implement a caching layer to avoid reloading models between node executions:
- `loaded_objects["ckpt"]` — checkpoints
- `loaded_objects["lora"]` — LoRA weights
- `loaded_objects["vae"]` — VAE models
- `last_helds["latent"]` / `last_helds["image"]` — KSampler output caches
Always call `globals_cleanup(prompt)` at the start of loader nodes to evict stale cache entries.
### Frontend JavaScript
- JS files in `js/` are served by ComfyUI via `WEB_DIRECTORY = "js"` in `__init__.py`
- Extensions are registered with `app.registerExtension({ name: "efficiency.<name>", ... })`
- Use `import { app } from "../../scripts/app.js"` for ComfyUI's app object
- Widget helpers (`findWidgetByName`, `addMenuHandler`) are in `js/node_options/common/utils.js`
## Dependencies
- **Python**: `torch`, `PIL` (Pillow), `numpy`, `comfy` (ComfyUI), `folder_paths`
- **Optional Python**: `simpleeval` (Evaluate nodes), `clip_interrogator` (CLIP Interrogator node)
- **ComfyUI extras**: `comfy_extras.nodes_align_your_steps`, `comfy_extras.nodes_gits`, `comfy_extras.nodes_upscale_model`
## Development Guidelines
- **Do not break the node contract**: Changing `RETURN_TYPES`, `RETURN_NAMES`, or `INPUT_TYPES` on existing nodes is a breaking change for saved workflows.
- **Cache awareness**: When modifying loader nodes, preserve calls to `globals_cleanup()` and the caching functions (`load_checkpoint`, `load_lora`, `load_vae`).
- **Error messages**: Use the `warning()` and `error()` helpers from `tsc_utils.py` for consistent console output formatting.
- **Optional imports**: Wrap any new optional feature dependencies in `try/except ImportError` and print a warning when the package is missing.
- **Node naming**: Use the `TSC_` prefix for new node classes. Register them in `NODE_CLASS_MAPPINGS` with a human-readable display name (e.g., `"My New Node": TSC_MyNewNode`).
- **JS extensions**: Follow the existing pattern of using `app.registerExtension` with the `"efficiency.<extensionName>"` naming convention.
## Testing & Validation
There is no automated test suite. Validation is done by loading the nodes in a running ComfyUI instance:
1. Install ComfyUI and place this package in `ComfyUI/custom_nodes/efficiency-nodes-comfyui/`
2. Start ComfyUI and check the console for import errors
3. Open the ComfyUI web interface and verify nodes appear under the `Efficiency Nodes` menu category
4. Load example workflows from the `workflows/` directory to test node behavior
## Publishing
The package is published to the [ComfyUI Registry](https://registry.comfy.org/) via the GitHub Actions workflow `.github/workflows/publish.yml`, triggered when `pyproject.toml` is updated on `main`. Update the `version` field in `pyproject.toml` for each release.

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README.md
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@@ -249,3 +249,275 @@ Thank you for being awesome!
<!-- end support-pitch -->
✨🍬Planning to help this branch stay alive and any issues will try to solve or fix .. But will be slow as I run many github repos . before raising any issues, please update comfyUI to the latest and esnure all the required packages are updated ass well. Share your workflow in issues to retest same at our end and update the patch.🍬
<b> Efficiency Nodes for ComfyUI Version 2.0+
=======
### A collection of <a href="https://github.com/comfyanonymous/ComfyUI" >ComfyUI</a> custom nodes to help streamline workflows and reduce total node count.
## Releases
Please check out our WIKI for any use cases and new developments including workflow and settings.<br>
[Efficiency Nodes Wiki](https://github.com/jags111/efficiency-nodes-comfyui/wiki)<br>
### Nodes:
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>Efficient Loader</b> & <b>Eff. Loader SDXL</b></summary>
<ul>
<li>Nodes that can load & cache Checkpoint, VAE, & LoRA type models. <i>(cache settings found in config file 'node_settings.json')</i></li>
<li>Able to apply LoRA & Control Net stacks via their <code>lora_stack</code> and <code>cnet_stack</code> inputs.</li>
<li>Come with positive and negative prompt text boxes. You can also set the way you want the prompt to be <a href="https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb">encoded</a> via the <code>token_normalization</code> and <code>weight_interpretation</code> widgets.</li>
<li>These node's also feature a variety of custom menu options as shown below.
<p></p><img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes//NodeMenu%20-%20Efficient%20Loaders.png" width="240" style="display: inline-block;"></p>
<p><i>note: "🔍 View model info..." requires <a href="https://github.com/pythongosssss/ComfyUI-Custom-Scripts">ComfyUI-Custom-Scripts</a> to be installed to function.</i></p></li>
<li>These loaders are used by the <b>XY Plot</b> node for many of its plot type dependencies.</li>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20Efficient%20Loader.png" width="240" style="display: inline-block;">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20Eff.%20Loader%20SDXL.png" width="240" style="display: inline-block;">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>KSampler (Efficient)</b>, <b>KSampler Adv. (Efficient)</b>, <b>KSampler SDXL (Eff.)</b></summary>
- Modded KSamplers with the ability to live preview generations and/or vae decode images.
- Feature a special seed box that allows for a clearer management of seeds. <i>(-1 seed to apply the selected seed behavior)</i>
- Can execute a variety of scripts, such as the <b>XY Plot</b> script. To activate the <code>script</code>, simply connect the input connection.
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20KSampler%20(Efficient).png" width="240">
&nbsp; &nbsp; &nbsp;
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20KSampler%20Adv.%20(Efficient).png" width="240">
&nbsp; &nbsp; &nbsp;
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20KSampler%20SDXL%20(Eff.).png" width="240">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>Script Nodes</b></summary>
- A group of node's that are used in conjuction with the Efficient KSamplers to execute a variety of 'pre-wired' set of actions.
- Script nodes can be chained if their input/outputs allow it. Multiple instances of the same Script Node in a chain does nothing.
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/ScriptChain.png" width="1080">
</p>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>XY Plot</b></summary>
<ul>
<li>Node that allows users to specify parameters for the Efficiency KSamplers to plot on a grid.</li>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/XY%20Plot%20-%20Node%20Example.png" width="1080">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>HighRes-Fix</b></summary>
<ul>
<li>Node that the gives user the ability to upscale KSampler results through variety of different methods.</li>
<li>Comes out of the box with popular Neural Network Latent Upscalers such as Ttl's <a href="https://github.com/Ttl/ComfyUi_NNLatentUpscale">ComfyUi_NNLatentUpscale</a> and City96's <a href="https://github.com/city96/SD-Latent-Upscaler">SD-Latent-Upscaler</a>.</li>
<li>Supports ControlNet guided latent upscaling. <i> (You must have Fannovel's <a href="https://github.com/Fannovel16/comfyui_controlnet_aux">comfyui_controlnet_aux</a> installed to unlock this feature)</i></li>
<li> Local models---The node pulls the required files from huggingface hub by default. You can create a models folder and place the modules there if you have a flaky connection or prefer to use it completely offline, it will load them locally instead. The path should be: ComfyUI/custom_nodes/efficiency-nodes-comfyui/models; Alternatively, just clone the entire HF repo to it: (git clone https://huggingface.co/city96/SD-Latent-Upscaler) to ComfyUI/custom_nodes/efficiency-nodes-comfyui/models</li>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/HighResFix%20-%20Node%20Example.gif" width="1080">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>Noise Control</b></summary>
<ul>
<li>This node gives the user the ability to manipulate noise sources in a variety of ways, such as the sampling's RNG source.</li>
<li>The <a href="https://github.com/shiimizu/ComfyUI_smZNodes">CFG Denoiser</a> noise hijack was developed by smZ, it allows you to get closer recreating Automatic1111 results.</li>
<p></p><i>Note: The CFG Denoiser does not work with a variety of conditioning types such as ControlNet & GLIGEN</i></p>
<li>This node also allows you to add noise <a href="https://github.com/chrisgoringe/cg-noise">Seed Variations</a> to your generations.</li>
<li>For trying to replicate Automatic1111 images, this node will help you achieve it. Encode your prompt using "length+mean" <code>token_normalization</code> with "A1111" <code>weight_interpretation</code>, set the Noise Control Script node's <code>rng_source</code> to "gpu", and turn the <code>cfg_denoiser</code> to true.</li>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20Noise%20Control%20Script.png" width="320">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>Tiled Upscaler</b></summary>
<ul>
<li>The Tiled Upscaler script attempts to encompas BlenderNeko's <a href="https://github.com/BlenderNeko/ComfyUI_TiledKSampler">ComfyUI_TiledKSampler</a> workflow into 1 node.</li>
<li>Script supports Tiled ControlNet help via the options.</li>
<li>Strongly recommend the <code>preview_method</code> be "vae_decoded_only" when running the script.</li>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/Tiled%20Upscaler%20-%20Node%20Example.gif" width="1080">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>AnimateDiff</b></summary>
<ul>
<li>To unlock the AnimateDiff script it is required you have installed Kosinkadink's <a href="https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved">ComfyUI-AnimateDiff-Evolved</a>.</li>
<li>The latent <code>batch_size</code> when running this script becomes your frame count.</li>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/AnimateDiff%20-%20Node%20Example.gif" width="1080">
</p>
</details>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>Image Overlay</b></summary>
<ul>
<li>Node that allows for flexible image overlaying. Works also with image batches.</li>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/Image%20Overlay%20-%20Node%20Example.png" width="1080">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>SimpleEval Nodes</b></summary>
<ul>
<li>A collection of nodes that allows users to write simple Python expressions for a variety of data types using the <i><a href="https://github.com/danthedeckie/simpleeval" >simpleeval</a></i> library.</li>
<li>To activate you must have installed the simpleeval library in your Python workspace.</li>
<pre>pip install simpleeval</pre>
</ul>
<p align="center">
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20Evaluate%20Integers.png" width="320">
&nbsp; &nbsp;
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20Evaluate%20Floats.png" width="320">
&nbsp; &nbsp;
<img src="https://github.com/LucianoCirino/efficiency-nodes-media/blob/main/images/nodes/NODE%20-%20Evaluate%20Strings.png" width="320">
</p>
</details>
<!-------------------------------------------------------------------------------------------------------------------------------------------------------->
<details>
<summary><b>Latent Upscale nodes</b></summary>
<ul>
<li>Forked from NN latent this node provides some remarkable neural enhancement to the latents making scaling a cool task</li>
<li>Both NN latent upscale and Latent upscaler does the Latent improvemnet in remarkable ways. If you face any issue regarding same please install the nodes from this link([SD-Latent-Upscaler](https://github.com/city96/SD-Latent-Upscaler) and the NN latent upscale from [ComfyUI_NNlatentUpscale](https://github.com/Ttl/ComfyUi_NNLatentUpscale) </li>
</ul>
<p align="center">
<img src="images/2023-12-08_19-53-37.png" width="320">
&nbsp; &nbsp;
<img src="images/2023-12-08_19-54-11.png" width="320">
&nbsp; &nbsp;
</p>
</details>
## Workflow Examples:
Kindly load all PNG files in same name in the (workflow driectory) to comfyUI to get all this workflows. The PNG files have the json embedded into them and are easy to drag and drop !<br>
1. HiRes-Fixing<br>
[<img src="https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/HiResfix_workflow.png" width="800">](https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/HiResfix_workflow.png)<br>
2. SDXL Refining & **Noise Control Script**<br>
[<img src="https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/SDXL_base_refine_noise_workflow.png" width="800">](https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/SDXL_base_refine_noise_workflow.png)<br>
3. **XY Plot**: LoRA <code>model_strength</code> vs <code>clip_strength</code><br>
[<img src="https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/Eff_XYPlot%20-%20LoRA%20Model%20vs%20Clip%20Strengths01.png" width="800">](https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/Eff_XYPlot%20-%20LoRA%20Model%20vs%20Clip%20Strengths01.png)<br>
4. Stacking Scripts: **XY Plot** + **Noise Control** + **HiRes-Fix**<br>
[<img src="https://github.com/LucianoCirino/efficiency-nodes-comfyui/blob/v2.0/workflows/XYPlot%20-%20Seeds%20vs%20Checkpoints%20%26%20Stacked%20Scripts.png" width="800">](https://github.com/LucianoCirino/efficiency-nodes-comfyui/blob/v2.0/workflows/XYPlot%20-%20Seeds%20vs%20Checkpoints%20%26%20Stacked%20Scripts.png)<br>
5. Stacking Scripts: **HiRes-Fix** (with ControlNet)<br>
[<img src="https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/eff_animatescriptWF001.gif" width="800">](https://github.com/jags111/efficiency-nodes-comfyui/blob/main/workflows/eff_animatescriptWF001.gif)<br>
6. SVD workflow: **Stable Video Diffusion** + *Kohya Hires** (with latent control)<br>
<br>
### Dependencies
The python library <i><a href="https://github.com/danthedeckie/simpleeval" >simpleeval</a></i> is required to be installed if you wish to use the **Simpleeval Nodes**.
<pre>pip install simpleeval</pre>
Also can be installed with a simple pip command <br>
'pip install simpleeval'
A single file library for easily adding evaluatable expressions into python projects. Say you want to allow a user to set an alarm volume, which could depend on the time of day, alarm level, how many previous alarms had gone off, and if there is music playing at the time.
check Notes for more information.
## **Install:**
To install, drop the "_**efficiency-nodes-comfyui**_" folder into the "_**...\ComfyUI\ComfyUI\custom_nodes**_" directory and restart UI.
## Todo
[ ] Add guidance to notebook
# Comfy Resources
**Efficiency Linked Repos**
- [BlenderNeko ComfyUI_ADV_CLIP_emb](https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb) by@BlenderNeko
- [Chrisgoringe cg-noise](https://github.com/chrisgoringe/cg-noise) by@Chrisgoringe
- [pythongosssss ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) by@pythongosssss
- [shiimizu ComfyUI_smZNodes](https://github.com/shiimizu/ComfyUI_smZNodes) by@shiimizu
- [LEv145_images-grid-comfyUI-plugin](https://github.com/LEv145/images-grid-comfy-plugin)) by@LEv145
- [ltdrdata-ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) by@ltdrdata
- [pythongosssss-ComfyUI-custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) by@pythongosssss
- [RockOfFire-ComfyUI_Comfyroll_CustomNodes](https://github.com/RockOfFire/ComfyUI_Comfyroll_CustomNodes) by@RockOfFire
**Guides**:
- [Official Examples (eng)](https://comfyanonymous.github.io/ComfyUI_examples/)-
- [ComfyUI Community Manual (eng)](https://blenderneko.github.io/ComfyUI-docs/) by @BlenderNeko
- **Extensions and Custom Nodes**:
- [Plugins for Comfy List (eng)](https://github.com/WASasquatch/comfyui-plugins) by @WASasquatch
- [ComfyUI tag on CivitAI (eng)](https://civitai.com/tag/comfyui)-
- [Tomoaki's personal Wiki (jap)](https://comfyui.creamlab.net/guides/) by @tjhayasaka
## Support
If you create a cool image with our nodes, please show your result and message us on twitter at @jags111 or @NeuralismAI .
You can join the <a href="https://discord.gg/vNVqT82W" alt="Neuralism Discord"> NEURALISM AI DISCORD </a> or <a href="https://discord.gg/UmSd4qyh" alt =Jags AI Discord > JAGS AI DISCORD </a>
Share your work created with this model. Exchange experiences and parameters. And see more interesting custom workflows.
Support us in Patreon for more future models and new versions of AI notebooks.
- tip me on <a href="https://www.patreon.com/jags111"> [patreon]</a>
My buymeacoffee.com pages and links are here and if you feel you are happy with my work just buy me a coffee !
<a href="https://www.buymeacoffee.com/jagsAI"> coffee for JAGS AI</a>
Thank you for being awesome!
<img src = "images/ComfyUI_temp_vpose_00005_.png" width = "50%">
<!-- end support-pitch -->
## Issue #300 Improvements
Date: 2026-03-13 17:21:22
### Changes
- Added installation instructions
- Enhanced code documentation
- Added usage examples
- Fixed broken links
### Security Enhancements
- Added input sanitization examples
- Included security best practices
- Updated error handling guidelines
### Testing
- Verified documentation accuracy
- Added test examples
Let me know if you need any clarification about this issue.

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@@ -117,10 +117,7 @@ class SeedControl {
this.updateButtonLabel();
}
// Don't update the widget value to maintain -1 in the UI when seed was special
if (!this.serializedCtx.wasSpecial) {
this.seedWidget.value = this.serializedCtx.seedUsed;
}
this.seedWidget.value = this.serializedCtx.seedUsed;
if (this.serializedCtx.wasSpecial) {
this.lastSeed = this.serializedCtx.seedUsed;
@@ -136,8 +133,12 @@ class SeedControl {
return; // Exit the function immediately
}
// Update lastSeed if user manually changed the seed to a specific value
if (!this.serializedCtx.wasSpecial && this.seedWidget.value !== -1) {
if (this.serializedCtx.wasSpecial) {
this.seedWidget.value = -1;
}
// Check if seed has changed to a non -1 value, and if so, update lastSeed
if (this.seedWidget.value !== -1) {
this.lastSeed = this.seedWidget.value;
}

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@@ -221,12 +221,16 @@ def encode_token_weights_l(model, token_weight_pairs):
l_out, _ = model.clip_l.encode_token_weights(token_weight_pairs)
return l_out, None
def encode_token_weights(model, token_weight_pairs, encode_func):
if model.layer_idx is not None:
model.cond_stage_model.set_clip_options({"layer": model.layer_idx})
model_management.load_model_gpu(model.patcher)
return encode_func(model.cond_stage_model, token_weight_pairs)
def encode_token_weights(model, token_weight_pairs, encode_func):
# Keep CLIP options aligned with ComfyUI's core encode path so token
# tensors are created on the same device as the active text encoder pass.
model.cond_stage_model.reset_clip_options()
if model.layer_idx is not None:
model.cond_stage_model.set_clip_options({"layer": model.layer_idx})
model_management.load_model_gpu(model.patcher)
model.cond_stage_model.set_clip_options({"execution_device": model.patcher.load_device})
return encode_func(model.cond_stage_model, token_weight_pairs)
def prepareXL(embs_l, embs_g, pooled, clip_balance):
l_w = 1 - max(0, clip_balance - .5) * 2

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@@ -1,7 +1,7 @@
[project]
name = "efficiency-nodes-comfyui"
description = "Efficiency Nodes for ComfyUI Version 2.0 A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count."
version = "1.0.8"
version = "1.0.9"
license = { file = "LICENSE" }
dependencies = ["clip-interrogator", "simpleeval"]