by DeepSeek
Janus-Pro deepseek最新发布图片生成模型；是一个新颖的自回归框架，统一了多模态理解和生成。它通过将视觉编码解耦为独立路径来解决以往方法的局限性，同时仍然利用单一的统一变换器架构进行处理。这种解耦不仅缓解了视觉编码器在理解和生成中的角色冲突，还增强了框架的灵活性。Janus-Pro 超越了之前的统一模型，并且与任务特定模型的性能相匹配或超过。Janus-Pro 的简单性、高灵活性和有效性使其成为下一代统一多模态模型的重要候选者。
Janus-Pro deepseek最新发布图片生成模型；是一个新颖的自回归框架，统一了多模态理解和生成。它通过将视觉编码解耦为独立路径来解决以往方法的局限性，同时仍然利用单一的统一变换器架构进行处理。这种解耦不仅缓解了视觉编码器在理解和生成中的角色冲突，还增强了框架的灵活性。Janus-Pro 超越了之前的统一模型，并且与任务特定模型的性能相匹配或超过。Janus-Pro 的简单性、高灵活性和有效性使其成为下一代统一多模态模型的重要候选者。
On AIHubMix, deepseek-ai/Janus-Pro-7B costs $2 per million input tokens and $2 per million output tokens.
deepseek-ai/Janus-Pro-7B is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to deepseek-ai/Janus-Pro-7B — no other code changes needed.
deepseek-ai/Janus-Pro-7B is developed by DeepSeek. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
DeepSeek-V4-Flash official API release. Agent capabilities have been greatly enhanced…
DeepSeek-V4 features an ultra-long context of one million characters and achieves leading…
DeepSeek-V4 features an ultra-long context of one million characters and achieves leading…
DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse…
DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse…
DeepSeek-V3.1 non-thinking mode has now been updated to the DeepSeek-V3.1-Terminus…
Use deepseek-ai/Janus-Pro-7B via the AIHubMix unified API — one interface for every major LLM.