Wan
Wan 2.7 Pro
Alibaba's powerful multimodal AI model that generates cinematic 1080p video with native audio synchronization, multi-shot storytelling, and advanced image creation.
Unknown
2K context
N/A output
Image
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Wan
Input Context Window
The number of tokens supported by the input context window.
2K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Wan
Modalities
Types of data this model can process.
Image
Pricing for Wan 2.7 Pro
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Wan
Configuration & Parameters
The configurable options currently documented for this model.
Images
Image URL ArrayInput images to edit (1-3). Reference them as "Figure 1", "Figure 2", etc. in the prompt.
Width
NumberHeight
NumberThinking Mode
SelectEnable thinking mode for enhanced reasoning and better image quality. Increases generation time.
Seed
SeedSupported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Wan 2.7 Pro
Wan 2.7 Pro discussions are most active in r/IndianArtAI, r/budgetpixel, r/StableDiffusion. Top Reddit threads cluster around benchmark and model-comparison threads.
The strongest match in this snapshot has 132 upvotes and 58 comments.
Instagram : https://instagram.com/abhirami.abi.ai
Wan 2.7 Image and wan2.7 image pro are now available on BudgetPixel.
\* Exceptional realistic face generation with natural skin tones and expressions
\* Thinking Mode for enhanced quality through deeper reasoning
\* Multi-reference images (up to 9) for precise image editing and fusion
\* 2k - 4K: pro supports 4K, can generate image that are \~25MB
I notice that many T2I models generate backgrounds full of noise, dirt, and artifacts even when you explicitly ask for a "perfectly white background".
So I ran a comparison:
\- All models are tested via [Arena.ai](http://Arena.ai) without any Lora
\- The prompt is "Full body photograph of a female model on a perfectly white background."
\- Each output is adjusted with Gamma 0.2, Saturation +90, Contrast +90 and Brightness -90. (We can also check these backgrounds manually by tilting the screen 120 degrees backward)
It seems like ChatGPT 1.5 and 2.0 have the cleanest backgrounds, followed by Wan 2.7 Pro and Flux 2 Max - though the latter two are still very noisy.
I would really appreciate it if anyone found a way to make a cleaner background for Flux Klein, my favorite and most-used model.
(I have tried multiple methods in this post but still have not found a solution: https://www.reddit.com/r/StableDiffusion/comments/1sv1gki/flux\_klein\_makes\_invisible\_weird\_darkerlighter/)
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