93 lines
4.4 KiB
Markdown
93 lines
4.4 KiB
Markdown
# Raffle
|
|
|
|
A semi-random prompt generator for danbooru tags that works alongside your character prompt, allowing you to put your waifu in many scenarios. Made for Illustrious/NoobAI/Pony, or any models supporting tag prompting.
|
|
|
|
## Quick Start
|
|
|
|
1. From within ComfyUI Manager, search for Raffle and install it
|
|
2. Add the Raffle node to your workflow
|
|
3. Connect your Negative Prompt to the "negative_prompt" input (you may need to convert it to a `text` node first)
|
|
4. Use the "Filtered tags" output in your Positive Prompt (merge it with a `text concat` or `string concat` node)
|
|
|
|
Download the workflow example for detailed implementation: [Raffle Example.json](https://github.com/rainlizard/ComfyUI-Raffle/blob/main/Raffle%20Example.json)
|
|
|
|
## How It Works
|
|
|
|
For offline use 400,000 taglists have been scraped from danbooru. Raffle randomly selects one of these taglists and filters it according to your preferences. A taglist is a collection of tags that have been applied to one image on danbooru, by using taglists we can be certain that the tags have good synergy with each other.
|
|
|
|
### Selection Process
|
|
1. Raffle first filters the pool of available taglists based on:
|
|
- `use_general`, `use_questionable`, `use_sensitive`, `use_explicit`
|
|
- `exclude_taglists_containing`
|
|
- `taglists_must_include`
|
|
- `exclude_tag_categories`
|
|
2. It randomly selects one taglist from this filtered pool using your provided seed
|
|
3. That selected taglist is then filtered by:
|
|
- `negative_prompt`
|
|
- `filter_out_tags`
|
|
- if the tag isn't even in `categorized_tags.txt` then it's also filtered
|
|
4. The final result is the `Filtered tags` output. You can use this in your Positive Prompt.
|
|
|
|
## Node Options
|
|
- **use_general**: Enable selection from general.txt which contains 100,000 general taglists
|
|
- **use_questionable**: Enable selection from questionable.txt which contains 100,000 questionable taglists
|
|
- **use_sensitive**: Enable selection from sensitive.txt which contains 100,000 sensitive taglists
|
|
- **use_explicit**: Enable selection from explicit.txt which contains 100,000 explicit taglists
|
|
- **seed**: Controls which taglist is randomly selected from the filtered pool
|
|
- **taglists_must_include**: Only selects taglists that contain ALL of these tags. Use sparingly as each tag added severely reduces the available pool of taglists.
|
|
- **negative_prompt**: Connect your existing negative prompt here to ensure none of those tags appear in the output
|
|
- **filter_out_tags**: Additional tags to filter out from the final output without modifying your main negative prompt
|
|
- **exclude_taglists_containing**: If ANY of these tags appear in a taglist, the entire taglist is removed from consideration. Use with caution as this can significantly reduce options.
|
|
- **exclude_tag_categories**: Exclude entire categories of tags (e.g., "clothes_and_accessories", "standard_physical_descriptors") from the final output
|
|
|
|
## Node Outputs
|
|
- **Filtered tags**: The final list of tags ready to use in your prompt
|
|
- **Unfiltered tags**: The complete original taglist before filtering (for debugging)
|
|
- **Debug info**: Information about the selection process, including available taglist count
|
|
|
|
## Categories
|
|
|
|
I've used AI to help categorize 20,000 tags in `categorized_tags.txt`, this includes any tag with more than 100 entries on danbooru. The categorization method isn't perfect, but it's what I've ended up with:
|
|
|
|
- `abstract_symbols`
|
|
- `actions`
|
|
- `artstyle_technique`
|
|
- `background_objects`
|
|
- `bodily_fluids`
|
|
- `camera_angle_perspective`
|
|
- `camera_focus_subject`
|
|
- `camera_framing_composition`
|
|
- `character_count`
|
|
- `clothes_and_accessories`
|
|
- `color_scheme`
|
|
- `content_censorship_methods`
|
|
- `expressions_and_mental_state`
|
|
- `female_intimate_anatomy`
|
|
- `female_physical_descriptors`
|
|
- `format_and_presentation`
|
|
- `gaze_direction_and_eye_contact`
|
|
- `general_clothing_exposure`
|
|
- `generic_clothing_interactions`
|
|
- `holding_large_items`
|
|
- `holding_small_items`
|
|
- `intentional_design_exposure`
|
|
- `lighting_and_vfx`
|
|
- `male_intimate_anatomy`
|
|
- `male_physical_descriptors`
|
|
- `metadata_and_attribution`
|
|
- `named_garment_exposure`
|
|
- `nudity_and_absence_of_clothing`
|
|
- `one_handed_character_items`
|
|
- `physical_locations`
|
|
- `poses`
|
|
- `publicly_visible_anatomy`
|
|
- `relationships`
|
|
- `sex_acts`
|
|
- `sfw_clothed_anatomy`
|
|
- `special_backgrounds`
|
|
- `specific_garment_interactions`
|
|
- `speech_and_text`
|
|
- `standard_physical_descriptors`
|
|
- `thematic_settings`
|
|
- `two_handed_character_items`
|