SakeTami
Innovate Futures @ Benji
Innovate Futures @ Benji

patreon


(ComfyUI Workflow) Fantasy Talking + Dia TTS + Flux - Multimodal AI Talking Avatar - Version 20250430

Tutorial Video : https://youtu.be/bSssQdqXy9A

Related Post: https://www.patreon.com/posts/127808092

Alibaba's Fantasy Talking represents a significant leap forward in talking avatar technology. When combined with Dia TTS for voice generation and Flux for character creation, you unlock a powerful workflow for producing dynamic, lifelike AI influencers and animated characters. In this post, we'll explore how to integrate these cutting-edge tools into an advanced content creation pipeline.

The Power Trio: Fantasy Talking, Dia TTS, and Flux

Fantasy Talking: Next-Generation Talking Avatars

Alibaba's Fantasy Talking builds upon their WAN 2.1 base model to deliver remarkably realistic talking avatars that surpass previous solutions in several key ways:

Whole-image rendering: Unlike models that only animate a bounding box around the mouth, Fantasy Talking regenerates the entire image frame-by-frame, resulting in more natural facial expressions and body language

Precise lip-syncing: When properly configured, the synchronization between audio and mouth movements achieves unprecedented accuracy

Body language control: Through text prompts, you can influence how much your avatar moves—from subtle head tilts to expressive hand gestures

Dia TTS: Expressive Voice Generation

Dia TTS brings your avatars to life with:

Life-like speech with natural pauses and intonation

Non-verbal sounds like laughter and breathing

Potential for voice cloning (though quality may vary in the public version)

Flux: Consistent Character Creation

Flux allows you to:

Generate multiple consistent images of your AI influencer

Train LoRAs for specific character styles

Create a library of poses and expressions for your avatar

Setting Up the Advanced Workflow

Prerequisites

ComfyUI installed and configured

Fantasy Talking models downloaded (1.6GB FP16 version recommended)

WAN 2.1 image-to-video base model (480p or 720p resolution)

Access to Dia TTS (Hugging Face Space or API)

Step 1: Character Generation with Flux

Begin by creating your base character:

Set up your Flux workflow in ComfyUI

Generate multiple images of your character in different poses

Optionally train a LoRA for consistent character generation

Save your favorite images for use in the talking avatar pipeline

Step 2: Voice Generation with Dia TTS

Create your audio track:

Prepare your script with SSML tags for pauses and emphasis

Add notations for non-verbal sounds (e.g., [laughs], [sighs])

Generate the audio file (WAV or MP3 format)

For best results, consider:

Keeping fast-paced segments under 5 seconds

Adding natural pauses between sentences

Using voice cloning if you need a specific vocal tone

Step 3: Animation with Fantasy Talking

Bring your character to life:

Load your Flux-generated image into the Fantasy Talking workflow

Input your Dia TTS audio file

Configure key settings:

FPS: Match to your audio's pace (start with 24, adjust up to 60 for fast speech)

CFG scale: Higher values (7-10) for more movement, lower (3-5) for subtlety

Steps: 30-50 for quality, adjust based on your hardware

Resolution: 512x512 works well, but you can go up to 1024x1024 with sufficient VRAM

Add movement prompts (e.g., "subtle head nods," "expressive hand gestures")

Generate and review the output

Pro Tips for Optimal Results

FPS is crucial: Fast dialogue requires higher FPS (30-60) to maintain sync

Test incrementally: Generate short clips to verify sync before long renders

Layer your workflow:

First pass: Focus on lip sync

Second pass: Add body language

Third pass: Fine-tune expressions

Hardware considerations:

For lower VRAM systems, use 480p models

Consider cloud options for high-resolution renders

Post-processing:

Use video editing software to blend multiple takes

Add subtle background motion for more dynamism

Overcoming Common Challenges

Out-of-sync audio:

Solution: Increase FPS and ensure consistent frame rates across all nodes

Robotic movements:

Solution: Adjust CFG scale and add more descriptive movement prompts

VRAM limitations:

Solution: Reduce resolution or use the Hugging Face Space demo

Unnatural facial expressions:

Solution: Experiment with different base images and adjust the CLIP vision settings

Pushing the Boundaries

For truly next-level results:

Emotion tagging: Use Dia TTS's emotion parameters to drive facial expressions

Scene transitions: Generate multiple clips with different poses and edit together

Interactive avatars: Combine with chatbot technology for real-time responses

Multi-character scenes: Render characters separately and composite in editing

Conclusion

The combination of Fantasy Talking, Dia TTS, and Flux represents a significant advancement in AI-generated video content. While the learning curve can be steep—particularly when balancing FPS settings with audio pace—the results justify the effort. This workflow is particularly powerful for:

Digital influencers and brand ambassadors

Educational content and tutorials

Interactive storytelling experiences

Personalized video messaging

As these tools continue to evolve, we're rapidly approaching a future where AI-generated characters are indistinguishable from human performers in many contexts. By mastering this advanced workflow now, you're positioning yourself at the forefront of this creative revolution.

FantasyTalking

https://huggingface.co/acvlab/FantasyTalking

Demo : https://huggingface.co/spaces/acvlab/FantasyTalking

ComfyUI Model Download: https://huggingface.co/Kijai/WanVideo_comfy/blob/main/fantasytalking_fp16.safetensors

Dia TTS : https://github.com/nari-labs/dia

Custom node: https://github.com/nobrainX2/comfyUI-customDia

Demo : https://huggingface.co/spaces/nari-labs/Dia-1.6B

Attached 2 workflows:
1 - DiaTTS with FTalking

2 - Flux Character Lora gen , Dia TTS with F Talking.

Have Fun :)

Comments

Block swap memory summary: Transformer blocks on cpu: 6078.91MB Transformer blocks on cuda:0: 10131.52MB Total memory used by transformer blocks: 16210.43MB Non-blocking memory transfer: True ---------------------- TeaCache: Using cache device: cpu Sampling 81 frames at 480x832 with 30 steps hi I stuck in this. can you help me ? I am using 4080 12GB Vram

Thap Huy


More Creators