We bring you some recent updates on TA that you might find interesting.
HunyuanImage 2.1 Update
Following Tencent’s official update of Hunyuan 2.1, which introduced ComfyUI support, TA has now synchronized its system to support this update as well.
Hunyuan 2.1 has :
Enhanced Semantic Understanding: Now capable of accurately interpreting complex semantics, supporting individual descriptions and precise generation for multiple subjects.
Improved Visual Quality: Visual textures are more realistic, with enhanced details and significant improvements in lighting and material expression.
Faster and More Stable Performance: Response and generation speeds are now more consistent, meeting a wider range of business scenario demands.
📣 We now supports native 2K resolution output! Don’t miss out.
Try it here: https://tensor.art/models/908972930887615947
SRPO Support
SRPO is introduced to address the "oily" texture issue in the Flux model. Compared to previous Flux models, SRPO offers the following advantages:
Oiliness Reduction: Effectively eliminates oiliness and AI-generated artifacts, enhancing realism by up to 3x.
Fast Training: The training process now takes only 10 minutes.
Experience here: https://tensor.art/models/908661281618175817
Vace Supported
We previously launched the video Vace feature, but recently with help of Wan 2.2 VACE, we've upgraded it to make it even more powerful.
VACE provide Precise Motion Rendering: Accurately recreates action changes and facial expressions.
Simple Setup: Just go to the Video Workspace, select Edit as the model type, choose the Wan 2.2 model family, and select Wan 2.2 Vace.
Easy Upload and Generation: Upload your materials and hit Generate to create videos.
Multiple Function includes depth control, pose control, swap subject, multi-image-reference and Recolorization. Offers comprehensive video editing tools, precise control, and endless creative possibilities.
New Labeling Algorithm
The new Minicpmv4.5 series labeling algorithm is now available for online training. Compared to previous versions, this algorithm offers significant improvements:
Better Understanding of Images/Videos: Now captures more subtle details and semantics with greater precision.
Natural and Fluent Tagging: Generates labels that are more aligned with human expression.
Check it out below:
Enter the online training mode, upload your image, and select Labeling → Auto Labeling.
Choose the Minicpmv4.5 series from the dropdown menu.
Preview the results.
Enhanced Prompt Upgrades
To help improve the quality and stability of generated content, we has upgraded the prompt enhancement feature.
Optimized Prompt Formula: The generated prompt text now follows a formula of [Subject Description] + [Environmental Background] + [Style Tone] + [Aesthetic Parameters] + [Emotional Atmosphere] + [On-screen Text], ensuring detailed, accurate expression.
Simply go to the workspace, input your core keywords, and click the Prompt Enhancement icon to generate a complete prompt in one click—no more struggling with unclear or lackluster descriptions!
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Thank you for reading through the update! If you have any questions or suggestions, feel free to join our community and reach out to the admins for feedback on Discord.
