Tasks and inputs
Aisha-AI-Official/wan2.2-rough-sex-doggy-style is listed for Image-text-to-video. It accepts image, text and produces video. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Image-text-to-video.
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Accepts
Produces
Aisha-AI-Official/wan2.2-rough-sex-doggy-style is a Hugging Face repository returned by the public Image-text-to-video task feed. Its recorded download count is 0 and it has 12 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Image-text-to-video. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists no library field as its library metadata. Its recorded tags include lora, nsfw, image-text-to-video, base_model:Wan-AI/Wan2.2-I2V-A14B-Diffusers, base_model:adapter:Wan-AI/Wan2.2-I2V-A14B-Diffusers, region:us. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Compare prompts at the same duration and resolution. Inspect temporal consistency, physical motion, identity drift and prompt adherence across the whole clip rather than judging a single frame.
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Aisha-AI-Official/wan2.2-rough-sex-doggy-style is listed for Image-text-to-video. It accepts image, text and produces video. Use the publisher’s input format and preprocessing for your chosen deployment.
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These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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