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Using the raw Flux Kontext Dev open-weight model of 23GB with a LoRa on Lambda.ai cloud GPU.

I have the models stored on my own hard drive, and I upload them directly to the Lambda instance via Filebrowser through an SSH port forward on port 8080. I also expose the ComfyUI dashboard through the tunnel on port 8188.

Host LambdaComfy
    Hostname 192.9.251.153 #ip lambalabs
    User ubuntu
    LocalForward 8080 127.0.0.1:8080
    LocalForward 8188 127.0.0.1:8188
 
I'm using an Nvidia A10 with 24GB of VRAM. It's a bit tight for the full 23GB model, but it works... it takes about 1 to 2 minutes to generate an image.
 
Depending on your available VRAM

32GB VRAM --> Full-speed, full-precision model (24Go)
20GB VRAM --> FP8 quantized (12Go)
≤ 12GB VRAM --> Int8/GGUF small version (~5Go)
 
Install on Lambda.ai
 
$ curl -LsSf https://astral.sh/uv/install.sh | sh
$ uv add torch torchvision torchaudio
$ uv pip install -r requirements.txt
$ uv run main.py # run ComfyUI dash
 
$ curl -fsSL https://raw.githubusercontent.com/filebrowser/get/master/get.sh | bash
$ filebrowser -r ComfyUI/  # helping upload models
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side project : sos buttons done

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Art attack

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The side project for the SOS button for my mother is almost finished, at least on the software side. I ended up using Python with the excellent UV package. Now, I just need to design two nice cases in Fusion360 to house the two Raspberry Pi 3B+ units with their buttons and the piezoelectric buzzer for the other one.

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UV is now my default Python package manager for all of my projects

github.com/astral-sh/uv

- A single tool to replace pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more.
- 10-100x faster than pip.
- An extremely fast Python package and project manager, written in Rust.

Example : Install & usage
$ curl -LsSf https://astral.sh/uv/install.sh | sh
(add shell permanently)
$ echo 'source $HOME/.local/bin/env' >> ~/.bashrc 
$ uv init --name myproject .
$ uv add pygame (example)
$ uv run game.py

Context
docs.astral.sh/uv/llms.txt

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Context Engineering

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Will IDEs soon be a thing of the past?
gemini / claude code / codex / 

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go to ryzen

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