Sylvain Filoni PRO
fffiloni
AI & ML interests
ML Imagineer • Alumni Arts Déco Paris • PSL [Paris Sciences & Lettres] • HF Fellowship of Open-Source AI
Recent Activity
updated a Space 5 days ago
fffiloni/take-studio-zerogpu-drama3 published a Space 5 days ago
fffiloni/take-studio-zerogpu-drama3 updated a collection 6 days ago
Awesome HuggingApps with Real Art DirectionOrganizations
Posts 29
Post
375
📖 A gamebook you can play in your own words, powered by local Decision Models.
Traditional gamebooks offer explicit branches: “To enter the forest, turn to page 42.” In Choose your own adventure, you can describe an action, question a character, or ask what you already know before deciding. Clickable choices remain available.
The story’s branches and consequences are authored. Natural language adds a flexible way to interact with them, with conversations between actions.
I built this project to explore a concrete role for Decision Models in an interactive application:
• Kev-4B makes structured decisions: matching intentions to available actions and distinguishing acting from discussing.
• Ink manages story progression, discoveries, inventory and endings.
• Qwen3-8B selects dialogue responses from authored content available in the current state.
Both models run locally inside the Space through llama.cpp, using quantized GGUFs. You can inspect the model calls, scores and routing decisions directly in the interface.
The current release includes three adventures in French and English, with a pack format for adding new stories without changing the engine.
It’s still experimental, and interpretations can go wrong. I’d love feedback on how it feels to play—and on this use of Decision Models to connect natural language with explicit game logic.
Try and play here: fffiloni/choose-your-own-adventure-dm 🤗
Traditional gamebooks offer explicit branches: “To enter the forest, turn to page 42.” In Choose your own adventure, you can describe an action, question a character, or ask what you already know before deciding. Clickable choices remain available.
The story’s branches and consequences are authored. Natural language adds a flexible way to interact with them, with conversations between actions.
I built this project to explore a concrete role for Decision Models in an interactive application:
• Kev-4B makes structured decisions: matching intentions to available actions and distinguishing acting from discussing.
• Ink manages story progression, discoveries, inventory and endings.
• Qwen3-8B selects dialogue responses from authored content available in the current state.
Both models run locally inside the Space through llama.cpp, using quantized GGUFs. You can inspect the model calls, scores and routing decisions directly in the interface.
The current release includes three adventures in French and English, with a pack format for adding new stories without changing the engine.
It’s still experimental, and interpretations can go wrong. I’d love feedback on how it feels to play—and on this use of Decision Models to connect natural language with explicit game logic.
Try and play here: fffiloni/choose-your-own-adventure-dm 🤗
Articles 2
Article
1
Exploring Hugging Face Jobs with a Gradio interface — toward Job Recipes
Agentic Generated Spaces
- Sleeping5
Agentic Space Factory
🏭5Build, inspect, validate Gradio Spaces from model cards.
- Running on ZeroAgents
SDXL-Turbo T2I Demo
🚀Single-step SDXL-Turbo image generation demo
- SleepingAgents
Z-Image Turbo Demo
🚀Z-Image Turbo text-to-image demo
- Running on ZeroAgents
MOSS-SoundEffect v2.0
🚀Text-to-audio sound effects with MOSS-SoundEffect v2.0
Awesome HuggingApps with Real Art Direction
Agentic Generated Spaces
- Sleeping5
Agentic Space Factory
🏭5Build, inspect, validate Gradio Spaces from model cards.
- Running on ZeroAgents
SDXL-Turbo T2I Demo
🚀Single-step SDXL-Turbo image generation demo
- SleepingAgents
Z-Image Turbo Demo
🚀Z-Image Turbo text-to-image demo
- Running on ZeroAgents
MOSS-SoundEffect v2.0
🚀Text-to-audio sound effects with MOSS-SoundEffect v2.0
spaces 224
pinned
Running on Zero
Agents
Featured
27
TADA — Text-Acoustic Dual Alignment for Speech
🗯
Speech generation from text and acoustic reference
pinned
Running on Zero
MCP
Featured
124
TIGER Audio Extractor
✂
Extraction & Reconstruction for Efficient Speech Separation
pinned
Running on Zero
Agents
Featured
1.67k
Expression Editor
🐨
Quickly edit the expression of a face
pinned
Running on Zero
MCP
2.56k
Diffusers Image Outpaint
🔅
Easily expand image boundaries
pinned
Running on Zero
Agents
13
NVILA HD Video + AutoGaze
🎯
Long video understanding with smart attention
pinned
Running on Zero
MCP
Featured
578
Image to Music v2
🎺
Get a music sample inspired by the mood of an image
models 19
fffiloni/microduck-moonwalk-backward-55e6af
Reinforcement Learning • Updated • 56 • 2
fffiloni/microduck-polite-bow-b1d864
Reinforcement Learning • Updated • 101 • 2
fffiloni/SALMONN-7B-PACK
Updated
fffiloni/WildGS-SLAM
Updated
fffiloni/greyscale-tiny-town
Text-to-Image • Updated • 132 • • 9
fffiloni/sweet-brush
Text-to-Image • Updated • 456 • • 9
fffiloni/wooly-play-doh
Text-to-Image • Updated • 99 • • 8
fffiloni/deep-blue-v2
Text-to-Image • Updated • 148 • • 10
fffiloni/dark-pointillisme
Text-to-Image • Updated • 243 • • 3
fffiloni/cute-comic-800
Text-to-Image • Updated • 125 • • 23