Christopher Pietsch

646 posts

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Christopher Pietsch

Christopher Pietsch

@chrispiecom

interaction designer / creative coder / ML

Deutschland Katılım Mayıs 2011
645 Takip Edilen890 Takipçiler
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Christopher Pietsch
Christopher Pietsch@chrispiecom·
I have been cooking up a project over the last year and now it is finally ready: Merge your creativity with AI and transform the world around you! ✨Transferscope is a handheld device that lets you capture any object or concept and blend it seamlessly onto any scene.
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fofr
fofr@fofrAI·
> pick an object and recreate it made out of something unlikely, keep it in context
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Prathyush
Prathyush@prathyvsh·
A powerful way to think about user interfaces is as them being bases of a latent space manifold. There is a nascent niche of interesting experiments exploring these and I will try to curate some of these that came into my notice in this thread.
麦 ⌇Baku@_baku89

An interface defines the metric of search space

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Christopher Pietsch
Christopher Pietsch@chrispiecom·
What will happen when those diffusion models hit our phones and our personal photos are not genuine anymore? "make me look like last summer", "remove grandma from the picture" or "add person x to the group". Also: what crazy compression level will be achieved ?
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AK
AK@_akhaliq·
FLUX that Plays Music paper page: huggingface.co/papers/2409.00… This paper explores a simple extension of diffusion-based rectified flow Transformers for text-to-music generation, termed as FluxMusic. Generally, along with design in advanced Fluxhttps://github.com/black-forest-labs/flux model, we transfers it into a latent VAE space of mel-spectrum. It involves first applying a sequence of independent attention to the double text-music stream, followed by a stacked single music stream for denoised patch prediction. We employ multiple pre-trained text encoders to sufficiently capture caption semantic information as well as inference flexibility. In between, coarse textual information, in conjunction with time step embeddings, is utilized in a modulation mechanism, while fine-grained textual details are concatenated with the music patch sequence as inputs. Through an in-depth study, we demonstrate that rectified flow training with an optimized architecture significantly outperforms established diffusion methods for the text-to-music task, as evidenced by various automatic metrics and human preference evaluations.
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Brendan Bycroft
Brendan Bycroft@BrendanBycroft·
Project #2: LLM Visualization So I created a web-page to visualize a small LLM, of the sort that's behind ChatGPT. Rendered in 3D, it shows all the steps to run a single token inference. (link in bio)
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Seeed Studio
Seeed Studio@seeedstudio·
#EdgeAI 🤖 Check out @chrispiecom's Transferscope! Using generative AI, Raspberry Pi Zero 2, Raspberry Pi Camera Module 3, HyperPixel screen & XIAO RP2040, it captures real-world textures to create unique visuals. No need for complex prompts—just point, capture, and transform! For more details check out our blog in the link below 👇 bit.ly/4djvaeG
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memo akten
memo akten@memoakten·
"Learning to See: Hello, World!", 2017
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Christopher Pietsch
Christopher Pietsch@chrispiecom·
I have been cooking up a project over the last year and now it is finally ready: Merge your creativity with AI and transform the world around you! ✨Transferscope is a handheld device that lets you capture any object or concept and blend it seamlessly onto any scene.
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17
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Christopher Pietsch
Christopher Pietsch@chrispiecom·
Breakdown of hardware used for the device: 🖼️ Screen: HyperPixel 4.0 square @pimoroni 🖥️ Computing: Raspberry Pi Zero 2 @Raspberry_Pi 📷 Camera: RPI Camera Module 3 🕹️ I2C - Button: Seeed XIAO RP2040 @seeedstudio 🔋 Battery: 18650 Li-Ion with @dfrobotcn Power Booster
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