File Management
Most AI tools make you re-upload files or burn compute just to grab an output file or check a log. That gets expensive fast - and it wastes your time.
🗂️ Folder Structure
When you launch a machine on ThinkDiffusion, the platform automatically creates a top-level folder for that specific app. Each app has its own folder. You’ll see these in the file browser.
Example top-level folders:
/comfy/→ for ComfyUI machines/kohya/→ for LoRA training/automatic1111/→ for A1111 sessions
Each of these app folders contains its own structure - and they’re separated so you don’t mix tools.
Inside each app folder, there are common subfolders:
/logs/
Where machine logs are stored. Each time you launch a machine, it writes logs here. File names match the machine ID in your URL.
/models/
Where model files are stored (e.g. LoRAs, checkpoints). Depending on the app, these might be split into:
/models/checkpoints//models/loras//models/vae/
/outputs/ or /outputs/img2img/
Saved images, video frames, or render results show up here - depending on the app.
/input/ or /images/
Where uploaded images, masks, or reference files go. Some workflows look for inputs in specific folders.
Note: On free accounts, files are only accessible while a machine is running. Files are automatically deleted after 48 hours of inactivity. The 24/7 File Browser is available on TD Pro accounts.
🗂️ 24/7 File Browser
Your files persist between sessions
You don’t need to launch a machine just to grab a LoRA
You can prep and organize workflows without paying for idle GPU time
You can debug logs even while your machine is launching
With the 24/7 File Browser:
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