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.gitignore
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*.pyc
__pycache__
.pre-commit-config.yaml
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repos:
- repo: https://github.com/charliermarsh/ruff-pre-commit
rev: v0.0.259
hooks:
- id: ruff
args:
- --fix
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.4.0
hooks:
- id: end-of-file-fixer
exclude: ^collections/.*
- id: trailing-whitespace
exclude: ^collections/.*
- repo: https://github.com/psf/black
rev: 23.1.0
hooks:
- id: black
args:
- --quiet
README.md
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# ComfyUI-DynamicPrompts Custom Nodes
<img src="images/example.png"/>
ComfyUI-DynamicPrompts is a custom nodes library that integrates into your existing ComfyUI Library. It provides nodes that enable the use of [Dynamic Prompts](https://github.com/adieyal/dynamicprompts) in your ComfyUI. The nodes provided in this library are:
1. [Random Prompts](link_to_doc) - Implements standard wildcard mode for random sampling of variants and wildcards.
2. [Combinatorial Prompts](https://github.com/adieyal/sd-dynamic-prompts/blob/main/docs/SYNTAX.md#combinatorial-sampler) - Iterates through every possible combination of random values in a prompt.
3. [I'm Feeling Lucky](https://github.com/adieyal/dynamicprompts#im-feeling-lucky) - Uses the given prompt to download a related prompt from Lexica.art.
4. [Magic Prompt](https://github.com/adieyal/dynamicprompts#magic-prompt) - Employs a neural network to add relevant modifiers to your prompt.
5. [Jinja2 Templates](https://github.com/adieyal/dynamicprompts#jinja2-templates) - Allows you to write prompts using Jinja2 templates.
Nodes can be found in the Dynamic Prompts menu:
<img src="images/menu.png"/>
## Useful Links
* [Dynamic Prompts Home](https://github.com/adieyal/dynamicprompts)
* [Dynamic Prompts Syntax](https://github.com/adieyal/sd-dynamic-prompts/blob/main/docs/SYNTAX.md)
* [Dynamic Prompts Extension for Auto1111](https://github.com/adieyal/sd-dynamic-prompts)
* [Tutorial](https://github.com/adieyal/sd-dynamic-prompts/blob/main/docs/tutorial.md)
* [Online Resources](https://github.com/adieyal/sd-dynamic-prompts/blob/main/docs/resources.md)
## Installation
Follow the steps below to install the ComfyUI-DynamicPrompts Library:
1. Clone the repository:
```
git clone https://github.com/adieyal/comfyui-dynamicprompts ComfyUI/custom_nodes/
```
2. Install the required Python packages:
```
python -m pip install -r ComfyUI/custom_nodes/requirements.txt
```
3. Copy the dp.js file to the ComfyUI web extensions directory:
```
cp ComfyUI/custom_nodes/comfyui-dynamicprompts/web-extensions/dp.js ComfyUI/web/extensions
```
4. `mkdir ComfyUI/wildcards`
5. (Optional) download a wildcard collection and copy it into this new wildcards folder.
6. Restart your ComfyUI.
7. Example workflows can be found in `ComfyUI/custom_nodes/comfyui-dynamicprompts/example_workflows`.
## Wildcards
ComfyUI-DynamicPrompts supports wildcard files in `.txt`, .`json` and .`yaml` ([example format](https://github.com/adieyal/sd-dynamic-prompts/blob/main/collections/publicprompts.yaml)) . This library looks for a wildcards folder either in `ComfyUI/wildcards` or `ComfyUI/custom_nodes/comfyui-dynamicprompts/wildcards`.
There are many pre-built wildcards collections available. Here are a few to get you started:
* [SD Dynamic Prompts built-in](https://github.com/adieyal/sd-dynamic-prompts/tree/main/collections)
* [Civitai wildcard packs](https://github.com/adieyal/sd-dynamic-prompts/blob/main/docs/resources.md#wildcard-packs)
## Node Outputs
All nodes in this library produce a String output that can typically be passed into Clip Text Encode Prompts. Both positive and negative nodes are supported.
Please note, since ComfyUI is inherently stateless, some nodes might have a slightly unexpected behavior:
- The Combinatorial Prompt generation iterates through all possible values in a cycle. For example, A `{red|green|blue}` ball will generate the following sequence:
- A red ball
- A green ball
- A blue ball
- A red ball
- ...
- The I'm Feeling Lucky, Magic Prompt, and Jinja2 nodes have an optional auto refresh parameter. If set to `True`, a new prompt is generated for every iteration. However, if set to `False`, a prompt will be downloaded once and used for subsequent generations.
## Roadmap
1. This is a quick and dirty release with some known limitations such as non-configurable random seeds, inability to select the MagicPrompt model, and absence of several other configuration features.
2. Currently, the only way to view the generated prompt is through console output. A future release will introduce nodes to display the generate prompt on screen and to write it to a file.
3. It is not currently possible to chain generators, this functionality will be added in future releases.
5. The installation script will be automated in the future for ease of use.
__init__.py
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from comfy_dynamicprompts.nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
__version__ = "0.1.0"
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
example_workflows/combinatorial.json
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example_workflows/feelinglucky.json
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example_workflows/jinja2.json
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{
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nodes/__init__.py
+24
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from comfy_dynamicprompts.nodes.combinatorial import DPCombinatorialGenerator
from comfy_dynamicprompts.nodes.feeling_lucky import DPFeelingLucky
from comfy_dynamicprompts.nodes.jinja import DPJinja
from comfy_dynamicprompts.nodes.magicprompt import DPMagicPrompt
from comfy_dynamicprompts.nodes.random import DPRandomGenerator
NODE_CLASS_MAPPINGS = {
"DPRandomGenerator": DPRandomGenerator,
"DPCombinatorialGenerator": DPCombinatorialGenerator,
"DPFeelingLucky": DPFeelingLucky,
"DPJinja": DPJinja,
"DPMagicPrompt": DPMagicPrompt,
}
# A dictionary that contains the friendly/humanly readable titles for the nodes
NODE_DISPLAY_NAME_MAPPINGS = {
"DPRandomGenerator": "Random Prompts",
"DPCombinatorialGenerator": "Combinatorial Prompts",
"DPFeelingLucky": "I'm Feeling Lucky",
"DPJinja": "Jinja2 Templates",
"DPMagicPrompt": "Magic Prompt",
}
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
nodes/combinatorial.py
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from dynamicprompts.commands.base import SamplingMethod
from dynamicprompts.sampling_context import SamplingContext
from dynamicprompts.wildcards import WildcardManager
from comfy_dynamicprompts.nodes.sampler import DPAbstractSamplerNode
class DPCombinatorialGenerator(DPAbstractSamplerNode):
def _get_context(self, wildcard_manager: WildcardManager):
self._context = SamplingContext(
wildcard_manager=wildcard_manager,
default_sampling_method=SamplingMethod.COMBINATORIAL,
)
nodes/feeling_lucky.py
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from dynamicprompts.generators import FeelingLuckyGenerator, RandomPromptGenerator
from comfy_dynamicprompts.nodes.generator import DPGeneratorNode
class DPFeelingLucky(DPGeneratorNode):
def generate_prompt(self, text) -> str:
prompt_generator = FeelingLuckyGenerator(generator=RandomPromptGenerator())
all_prompts = prompt_generator.generate(text, 1) or [""]
return all_prompts[0]
nodes/generator.py
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from abc import ABC, abstractmethod
class DPGeneratorNode(ABC):
RETURN_TYPES = ("STRING",)
FUNCTION = "get_prompt"
CATEGORY = "Dynamic Prompts"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"text": ("PROMPT", {"multiline": True}),
"autorefresh": (["Yes", "No"],),
},
}
@classmethod
def IS_CHANGED(cls, text, autorefresh):
# Force re-evaluation of the node
if autorefresh == "Yes":
return float("NaN")
def get_prompt(self, text: str, autorefresh: str) -> tuple[str]:
prompt = self.generate_prompt(text)
print(f"Prompt: {prompt}")
return (prompt,)
@abstractmethod
def generate_prompt(self, text: str) -> str:
...
nodes/jinja.py
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from dynamicprompts.generators import JinjaGenerator
from comfy_dynamicprompts.nodes.generator import DPGeneratorNode
class DPJinja(DPGeneratorNode):
def generate_prompt(self, text):
prompt_generator = JinjaGenerator()
all_prompts = prompt_generator.generate(text, 1) or [""]
return all_prompts[0]
nodes/magicprompt.py
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from dynamicprompts.generators import RandomPromptGenerator
from dynamicprompts.generators.magicprompt import MagicPromptGenerator
from comfy_dynamicprompts.nodes.generator import DPGeneratorNode
class DPMagicPrompt(DPGeneratorNode):
def generate_prompt(self, text):
prompt_generator = MagicPromptGenerator(
prompt_generator=RandomPromptGenerator(),
)
all_prompts = prompt_generator.generate(text, 1) or [""]
return all_prompts[0]
nodes/output_node.py
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class OutputString:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"string": ("STRING", {}),
},
}
RETURN_TYPES = ()
FUNCTION = "output_string"
OUTPUT_NODE = True
CATEGORY = "utils"
def output_string(self, string):
return {"ui": {"string": string}}
nodes/random.py
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from dynamicprompts.commands.base import SamplingMethod
from dynamicprompts.sampling_context import SamplingContext
from dynamicprompts.wildcards import WildcardManager
from comfy_dynamicprompts.nodes.sampler import DPAbstractSamplerNode
class DPRandomGenerator(DPAbstractSamplerNode):
def _get_context(self, wildcard_manager: WildcardManager):
self._context = SamplingContext(
wildcard_manager=wildcard_manager,
default_sampling_method=SamplingMethod.RANDOM,
)
nodes/sampler.py
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import logging
from abc import ABC, abstractmethod
from pathlib import Path
from dynamicprompts.wildcards import WildcardManager
logger = logging.getLogger(__name__)
class DPAbstractSamplerNode(ABC):
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"text": ("PROMPT", {"dynamicPrompts": False, "multiline": True}),
},
}
@classmethod
def IS_CHANGED(cls, text):
# Force re-evaluation of the node
return float("NaN")
RETURN_TYPES = ("STRING",)
FUNCTION = "get_prompt"
CATEGORY = "Dynamic Prompts"
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
wildcards_folder = self._find_wildcards_folder()
self._wildcard_manager = WildcardManager(path=wildcards_folder)
self._sampling_context = self._get_context(self._wildcard_manager)
self._current_prompt = None
def _find_wildcards_folder(self):
wildcards_folder = Path("wildcards")
if wildcards_folder.exists():
return wildcards_folder
wildcards_folder = Path(__file__).parent / "wildcards"
if wildcards_folder.exists():
return wildcards_folder
return None
def _get_next_prompt(self):
"""
Get the next prompt from the prompts generator.
"""
try:
return next(self._prompts)
except StopIteration:
self._prompts = self._context.sample_prompts(self._current_prompt)
try:
return next(self._prompts)
except StopIteration:
logger.exception("No more prompts to generate!")
return ""
def get_prompt(self, text: str) -> str:
"""
Using the sampling context, generate a new prompt.
"""
if text.strip() == "":
return ("",)
if self._current_prompt != text:
self._current_prompt = text
self._prompts = self._context.sample_prompts(self._current_prompt)
if self._prompts is None:
logger.exception("Prompts is None!")
return ("",)
new_prompt = self._get_next_prompt()
logger.info(f"New prompt: {new_prompt}")
logger.info(f"Prompt: {new_prompt}")
print(f"Prompt: {new_prompt}")
return (new_prompt,)
@abstractmethod
def _get_context(self, wildcard_manager: WildcardManager = None):
...
pyproject.toml
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[tool.ruff]
target-version = "py310"
select = [
"B",
"C",
"COM",
"E",
"F",
"I",
"UP",
]
ignore = [
"C901", # Complexity
"E501", # Line length
]
unfixable = [
"B007", # Loop control variable not used within the loop body
]
requirements.txt
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dynamicprompts
web-extensions/dp.js
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import {app} from "../scripts/app.js";
import {ComfyWidgets} from "../scripts/widgets.js";
// It is currently not possible to disable the built-in dynamic prompts-like syntax in ComfyUI.
// Until that is fixed, this extension is used to disable it.
const id = "DP.PromptWidget";
app.registerExtension({
name: id,
addCustomNodeDefs(node_defs) {
ComfyWidgets["PROMPT"] = function(node, inputName, inputData, app) {
let stringWidget = ComfyWidgets["STRING"](node, inputName, inputData, app);
stringWidget.widget.dynamicPrompts = false;
return stringWidget;
}
}
});