537 165 1094

Radamés Ajna

radames

https://observablehq.com/@radames

AI & ML interests

None yet

Recent Activity

liked a model 6 days ago

InstantX/FLUX.1-dev-IP-Adapter

liked a model 6 days ago

black-forest-labs/FLUX.1-Fill-dev

liked a model 6 days ago

black-forest-labs/FLUX.1-Redux-dev

View all activity

Articles

Hugging Face + Google Visual Blocks

May 16

• 22

Organizations

Posts 10

Post

5382

Thanks to @OzzyGT for pushing the new Anyline preprocessor to https://github.com/huggingface/controlnet_aux. Now you can use the TheMistoAI/MistoLine ControlNet with Diffusers completely.

Here's a demo for you: radames/MistoLine-ControlNet-demo
Super resolution version: radames/Enhance-This-HiDiffusion-SDXL

from controlnet_aux import AnylineDetector

anyline = AnylineDetector.from_pretrained(
    "TheMistoAI/MistoLine", filename="MTEED.pth", subfolder="Anyline"
).to("cuda")

source = Image.open("source.png")
result = anyline(source, detect_resolution=1280)

Post

6162

At Google I/O 2024, we're collaborating with the Google Visual Blocks team (https://visualblocks.withgoogle.com) to release custom Hugging Face nodes. Visual Blocks for ML is a browser-based tool that allows users to create machine learning pipelines using a visual interface. We're launching nodes with Transformers.js, running models on the browser, as well as server-side nodes running Transformers pipeline tasks and LLMs using our hosted inference. With @Xenova @JasonMayes

You can learn more about it here https://huggingface.co/blog/radames/hugging-face-google-visual-blocks

Source-code for the custom nodes:
https://github.com/huggingface/visual-blocks-custom-components

View all posts