MiniMax-H3 Inpainting
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Say what to change in a clip and MiniMax-H3 repaints it
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If an agent can build the obvious demo, the obvious demo probably isnβt worth building anymore.
For years, turning a research repo into something people could actually try was valuable by itself.
That part is becoming automated β and thatβs a good thing.
Which means the interesting work moves elsewhere: finding the weird use case, the right interaction, the unexpected model combination β or simply knowing which paper is worth anyoneβs attention.
The demo used to be the product. Now it needs a point of view.
For years, turning a research repo into something people could actually try was valuable by itself.
That part is becoming automated β and thatβs a good thing.
Which means the interesting work moves elsewhere: finding the weird use case, the right interaction, the unexpected model combination β or simply knowing which paper is worth anyoneβs attention.
The demo used to be the product. Now it needs a point of view.
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Introducing Unsloth Desktop π¦₯
The first desktop app to run and train models locally.
β’ Open-source. Runs on Mac, Windows and Linux
β’ Supports MLX, diffusion image/video, audio, GGUF
β’ Connect Claude Code and Codex to local LLMs
β’ 50% more accurate, self-healing tool calls + sandboxed code exec
β’ Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac
β’ Train models 2Γ faster with 70% less VRAM
β’ Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF)
β’ Use Unslothβs OpenAI-compatible API and cloud models
β’ Securely deploy LLMs remotely and access anywhere
Unsloth Desktop is now available on http://unsloth.ai
and GitHub.
GitHub: https://github.com/unslothai/unsloth
Blog and Guide: https://unsloth.ai/docs/desktop
The first desktop app to run and train models locally.
β’ Open-source. Runs on Mac, Windows and Linux
β’ Supports MLX, diffusion image/video, audio, GGUF
β’ Connect Claude Code and Codex to local LLMs
β’ 50% more accurate, self-healing tool calls + sandboxed code exec
β’ Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac
β’ Train models 2Γ faster with 70% less VRAM
β’ Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF)
β’ Use Unslothβs OpenAI-compatible API and cloud models
β’ Securely deploy LLMs remotely and access anywhere
Unsloth Desktop is now available on http://unsloth.ai
and GitHub.
GitHub: https://github.com/unslothai/unsloth
Blog and Guide: https://unsloth.ai/docs/desktop
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