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Fix: concise title

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  1. README.md +99 -99
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- ---
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- title: "SD Dataset Automaker: Fancaps → Face Crop (YOLO) Similarity (Siamese) → WD Tagger → ZIP"
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- emoji: 🎴💆📦
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- colorFrom: indigo
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- colorTo: pink
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- sdk: gradio
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- sdk_version: 6.0.1
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- app_file: app.py
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- pinned: false
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- license: mit
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- ---
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-
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- # 🎴 SD Dataset Automaker
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-
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- Anime character dataset generator for LoRA/fine-tuning.
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-
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- ## ⚡ Quick Start
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-
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- 1. Find show on [fancaps.net](https://fancaps.net) → copy URL
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- 2. Upload 3-5 reference faces of target character
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- 3. Run → download ZIP with images + captions
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-
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- ## 🎛️ Parameters
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-
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- | Param | Default | Description |
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- |-------|---------|-------------|
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- | URL | — | `fancaps.net/.../showimages.php?ID-Name` |
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- | Refs | — | 3-5 face images of target character |
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- | Character | auto | Output name & tag (optional) |
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- | Max Downloads | 200 | Frames to scrape |
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- | Similarity | 32 | Lower = stricter (25-30 strict, 35+ loose) |
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- | Trigger Word | — | Prepends to all captions |
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-
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- ## 🔌 MCP Server
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-
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- [![MCP](https://img.shields.io/badge/MCP-enabled-ff69b4)](https://huggingface.co/docs/hub/spaces-mcp-servers)
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-
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- **SSE:** `https://nekochu-sd-dataset-automaker.hf.space/gradio_api/mcp/sse`
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-
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- <details>
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- <summary>Claude Desktop config</summary>
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-
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- ```json
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- {
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- "mcpServers": {
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- "sd-dataset-automaker": {
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- "command": "npx",
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- "args": ["mcp-remote", "https://nekochu-sd-dataset-automaker.hf.space/gradio_api/mcp/sse"]
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- }
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- }
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- }
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- ```
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- </details>
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-
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- <details>
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- <summary>Python API (Gallery)</summary>
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-
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- ```python
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- from gradio_client import Client, handle_file
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-
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- client = Client("Nekochu/SD-Dataset-Automaker")
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- zip_path, log = client.predict(
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- q="https://fancaps.net/anime/showimages.php?3092-Cowboy_Bebop",
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- c="spike_spiegel",
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- imgs=[
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- {"image": handle_file("https://huggingface.co/spaces/Nekochu/SD-Dataset-Automaker/resolve/main/from_url_spike_spiegel1.jpg"), "caption": None},
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- {"image": handle_file("https://huggingface.co/spaces/Nekochu/SD-Dataset-Automaker/resolve/main/from_url_spike_spiegel2.jpg"), "caption": None},
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- ],
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- files=None, mi=200, th=32, at="", an=True, mo=False, tv=False,
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- api_name="/process"
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- )
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- print(f"ZIP: {zip_path}")
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- ```
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- </details>
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-
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- <details>
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- <summary>Python API (File - MCP compatible)</summary>
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-
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- ```python
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- from gradio_client import Client, handle_file
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-
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- client = Client("Nekochu/SD-Dataset-Automaker")
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- zip_path, log = client.predict(
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- q="https://fancaps.net/anime/showimages.php?3092-Cowboy_Bebop",
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- c="spike_spiegel",
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- imgs=None, # Skip Gallery
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- files=[ # Use File input (simpler schema, MCP-friendly)
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- handle_file("spike_ref1.jpg"),
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- handle_file("spike_ref2.jpg"),
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- ],
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- mi=200, th=32, at="", an=True, mo=False, tv=False,
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- api_name="/process"
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- )
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- print(f"ZIP: {zip_path}")
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- ```
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- </details>
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-
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- ---
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- *CPU runtime ~5-10 min* | Based on [Maximax67/LoRA-Dataset-Automaker](https://github.com/Maximax67/LoRA-Dataset-Automaker)
 
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+ ---
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+ title: "SD Dataset Automaker: Scrap image → Face similarity+Tag"
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+ emoji: 🎴💆📦
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+ colorFrom: indigo
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+ colorTo: pink
6
+ sdk: gradio
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+ sdk_version: 6.0.1
8
+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ ---
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+
13
+ # 🎴 SD Dataset Automaker
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+
15
+ Anime character dataset generator for LoRA/fine-tuning.
16
+
17
+ ## ⚡ Quick Start
18
+
19
+ 1. Find show on [fancaps.net](https://fancaps.net) → copy URL
20
+ 2. Upload 3-5 reference faces of target character
21
+ 3. Run → download ZIP with images + captions
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+
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+ ## 🎛️ Parameters
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+
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+ | Param | Default | Description |
26
+ |-------|---------|-------------|
27
+ | URL | — | `fancaps.net/.../showimages.php?ID-Name` |
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+ | Refs | — | 3-5 face images of target character |
29
+ | Character | auto | Output name & tag (optional) |
30
+ | Max Downloads | 200 | Frames to scrape |
31
+ | Similarity | 32 | Lower = stricter (25-30 strict, 35+ loose) |
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+ | Trigger Word | — | Prepends to all captions |
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+
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+ ## 🔌 MCP Server
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+
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+ [![MCP](https://img.shields.io/badge/MCP-enabled-ff69b4)](https://huggingface.co/docs/hub/spaces-mcp-servers)
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+
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+ **SSE:** `https://nekochu-sd-dataset-automaker.hf.space/gradio_api/mcp/sse`
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+
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+ <details>
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+ <summary>Claude Desktop config</summary>
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+
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+ ```json
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+ {
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+ "mcpServers": {
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+ "sd-dataset-automaker": {
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+ "command": "npx",
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+ "args": ["mcp-remote", "https://nekochu-sd-dataset-automaker.hf.space/gradio_api/mcp/sse"]
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+ }
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+ }
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+ }
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+ ```
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+ </details>
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+
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+ <details>
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+ <summary>Python API (Gallery)</summary>
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+
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+ ```python
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+ from gradio_client import Client, handle_file
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+
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+ client = Client("Nekochu/SD-Dataset-Automaker")
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+ zip_path, log = client.predict(
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+ q="https://fancaps.net/anime/showimages.php?3092-Cowboy_Bebop",
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+ c="spike_spiegel",
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+ imgs=[
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+ {"image": handle_file("https://huggingface.co/spaces/Nekochu/SD-Dataset-Automaker/resolve/main/from_url_spike_spiegel1.jpg"), "caption": None},
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+ {"image": handle_file("https://huggingface.co/spaces/Nekochu/SD-Dataset-Automaker/resolve/main/from_url_spike_spiegel2.jpg"), "caption": None},
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+ ],
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+ files=None, mi=200, th=32, at="", an=True, mo=False, tv=False,
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+ api_name="/process"
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+ )
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+ print(f"ZIP: {zip_path}")
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+ ```
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+ </details>
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+
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+ <details>
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+ <summary>Python API (File - MCP compatible)</summary>
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+
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+ ```python
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+ from gradio_client import Client, handle_file
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+
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+ client = Client("Nekochu/SD-Dataset-Automaker")
83
+ zip_path, log = client.predict(
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+ q="https://fancaps.net/anime/showimages.php?3092-Cowboy_Bebop",
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+ c="spike_spiegel",
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+ imgs=None, # Skip Gallery
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+ files=[ # Use File input (simpler schema, MCP-friendly)
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+ handle_file("spike_ref1.jpg"),
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+ handle_file("spike_ref2.jpg"),
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+ ],
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+ mi=200, th=32, at="", an=True, mo=False, tv=False,
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+ api_name="/process"
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+ )
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+ print(f"ZIP: {zip_path}")
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+ ```
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+ </details>
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+
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+ ---
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+ *CPU runtime ~5-10 min* | Based on [Maximax67/LoRA-Dataset-Automaker](https://github.com/Maximax67/LoRA-Dataset-Automaker)