LoRA Training Video with Hunyuan
API
Hunyuan
LORA Training
2
62
Hunyuan is great at generating videos, but locking in a specific aesthetic or character is easier with a LoRA. Here's how to create your own.
Quick start recipe
Upload a Zip file of curated images + captions.
Enable is_style and include a unique trigger phrase.
Compare checkpoints with a range of steps to find the sweet spot.
Setting up your Fal.ai API key on Floyo
Sign up for a Fal.ai account
Go to Usage & Billing and add funds to your account
Create an API key, copy it and keep it safe
Run workflow on Floyo
On top-left corner, click on the team drop-down menu and select "Settings"
Select "API Connect" and paste your API key from earlier in the Fal.ai field and save!
Training overview
This workflow trains a Hunyuan LoRa using the Fal.ai API.
Processing takes 5-10 minutes with the default settings.
If you create a new folder named "Test", the path should look like:
../user_data/comfyui/input/Test
The default settings work very well – if you would like to add a trigger word for your LoRa, you can do that in the Trigger Word field.
Once finished, a new URL will appear in your Preview Text node. Copy the URL and paste the path directly to your browser to download the LoRa.
Prepping your dataset
Fewer, ultra‑high‑res (≈1024×1024+) images beat many low‑quality ones.
Every image must clearly represent the style or individual and be artifact‑free.
For people, aim for at least 10-20 images in different background (5 headshots, 5 wholebody, 5 halfbody, 5 in other scene)
Captioning
Give the style a unique trigger phrase (so as not be confused with a regular word or term).
For better prompt control, add custom captions that describe content only—leave style cues to the trigger phrase. Create accompanying .txt files with the same name as the image its describing.
If you do add custom captions, be sure to turn on is_style to skip auto‑captioning. It is set to off by default.
Training steps
The default is set to around 2000, but you can train multiple checkpoints (e.g., 500, 1000, 1500, 2000) and pick the one that balances style fidelity with prompt responsiveness.
Too few steps: the character becomes less realistic or the style fades.
Too many steps: model overfits and stops obeying prompts.
Output Path
Will be a URL in the Preview Text Node.
Copy the URL and paste the path directly to your ../comfyui/models/LoRA/
by using the Upload by URL feature in the file browser.
Read more
Nodes & Models
Hunyuan is great at generating videos, but locking in a specific aesthetic or character is easier with a LoRA. Here's how to create your own.
Quick start recipe
Upload a Zip file of curated images + captions.
Enable is_style and include a unique trigger phrase.
Compare checkpoints with a range of steps to find the sweet spot.
Setting up your Fal.ai API key on Floyo
Sign up for a Fal.ai account
Go to Usage & Billing and add funds to your account
Create an API key, copy it and keep it safe
Run workflow on Floyo
On top-left corner, click on the team drop-down menu and select "Settings"
Select "API Connect" and paste your API key from earlier in the Fal.ai field and save!
Training overview
This workflow trains a Hunyuan LoRa using the Fal.ai API.
Processing takes 5-10 minutes with the default settings.
If you create a new folder named "Test", the path should look like:
../user_data/comfyui/input/Test
The default settings work very well – if you would like to add a trigger word for your LoRa, you can do that in the Trigger Word field.
Once finished, a new URL will appear in your Preview Text node. Copy the URL and paste the path directly to your browser to download the LoRa.
Prepping your dataset
Fewer, ultra‑high‑res (≈1024×1024+) images beat many low‑quality ones.
Every image must clearly represent the style or individual and be artifact‑free.
For people, aim for at least 10-20 images in different background (5 headshots, 5 wholebody, 5 halfbody, 5 in other scene)
Captioning
Give the style a unique trigger phrase (so as not be confused with a regular word or term).
For better prompt control, add custom captions that describe content only—leave style cues to the trigger phrase. Create accompanying .txt files with the same name as the image its describing.
If you do add custom captions, be sure to turn on is_style to skip auto‑captioning. It is set to off by default.
Training steps
The default is set to around 2000, but you can train multiple checkpoints (e.g., 500, 1000, 1500, 2000) and pick the one that balances style fidelity with prompt responsiveness.
Too few steps: the character becomes less realistic or the style fades.
Too many steps: model overfits and stops obeying prompts.
Output Path
Will be a URL in the Preview Text Node.
Copy the URL and paste the path directly to your ../comfyui/models/LoRA/
by using the Upload by URL feature in the file browser.
Read more