DateLogicQA: Benchmarking Temporal Biases in Large Language Models
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gagan3012
authored
a
paper
29 days ago
gagan3012
authored
a
paper
2 months ago
Post
2697
Sharing for anyone using Diffusers
If you have
If you do not have the model repo saved in your cache, then automatically inferring the pipeline config will not work since the reference repo
You can use an alternative SD1.5 repo id to still configure your pipeline.
We're working on resolving the issue ASAP.
from_single_file loading and affected by the Runway SD 1.5 issue.If you have
runwayml/stable-diffusion-v1-5 saved locally in your HF cache then loading single file checkpoints in the following way should still work. from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_single_file("<url or path to single file checkpoint>")If you do not have the model repo saved in your cache, then automatically inferring the pipeline config will not work since the reference repo
runwayml/stable-diffusion-v1-5 doesn't exist anymore. You can use an alternative SD1.5 repo id to still configure your pipeline.
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_single_file("<url or path to single file checkpoint>", config="Lykon/DreamShaper")We're working on resolving the issue ASAP.
- 2 replies
gagan3012
authored
2
papers
6 months ago
vicgalle
authored
a
paper
7 months ago
Post
5949
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
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
6717
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
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
Post
2016
AI-town now runs on Hugging Face Spaces with our API for LLMs and embeddings, including the open-source Convex backend, all in one container. Easy to duplicate and config on your own
Demo: radames/ai-town
Instructions: https://github.com/radames/ai-town-huggingface
Demo: radames/ai-town
Instructions: https://github.com/radames/ai-town-huggingface
- 9 replies
tolgacangoz
posted
an
update
8 months ago
Post
1132
Hi
@TimothyAlexisVass
, thanks for [this great blog post](https://huggingface.co/blog/TimothyAlexisVass/explaining-the-sdxl-latent-space#the-4-channels-of-the-sdxl-latents)! Shouldn't this be like that?
https://github.com/TimothyAlexisVass/hf-colorspace-blogpost/pull/1
https://github.com/TimothyAlexisVass/hf-colorspace-blogpost/pull/1
Post
2533
HiDiffusion SDXL now supports Image-to-Image, so I've created an "Enhance This" version using the latest ControlNet Line Art model called MistoLine. It's faster than DemoFusion
Demo: radames/Enhance-This-HiDiffusion-SDXL
Older version based on DemoFusion radames/Enhance-This-DemoFusion-SDXL
New Controlnet SDXL Controls Every Line TheMistoAI/MistoLine
HiDiffusion is compatible with diffusers and support many SD models - https://github.com/megvii-research/HiDiffusion
Demo: radames/Enhance-This-HiDiffusion-SDXL
Older version based on DemoFusion radames/Enhance-This-DemoFusion-SDXL
New Controlnet SDXL Controls Every Line TheMistoAI/MistoLine
HiDiffusion is compatible with diffusers and support many SD models - https://github.com/megvii-research/HiDiffusion
- 1 reply
Post
3938
I just shared a blogpost on https://nateraw.com explaining the motivation + process of training
nateraw/musicgen-songstarter-v0.2 - including training details, WandB logs, hparams, and notes on previous experiments.
Check it out here ⤵️
https://nateraw.com/posts/training_musicgen_songstarter.html
:) still kinda a WIP so if there's anything else you want to see, let me know.
Check it out here ⤵️
https://nateraw.com/posts/training_musicgen_songstarter.html
:) still kinda a WIP so if there's anything else you want to see, let me know.
- 3 replies
Post
2454
I've built a custom component that integrates Rerun web viewer with Gradio, making it easier to share your demos as Gradio apps.
Basic snippet
More details here radames/gradio_rerun
Source https://github.com/radames/gradio-rerun-viewer
Follow Rerun here https://huggingface.co/rerun
Basic snippet
# pip install gradio_rerun gradio
import gradio as gr
from gradio_rerun import Rerun
gr.Interface(
inputs=gr.File(file_count="multiple", type="filepath"),
outputs=Rerun(height=900),
fn=lambda file_path: file_path,
).launch()More details here radames/gradio_rerun
Source https://github.com/radames/gradio-rerun-viewer
Follow Rerun here https://huggingface.co/rerun
Post
2463
ByteDance released new distillation technique Hyper-SD (
ByteDance/Hyper-SD) for efficient image generation.
Here a few demos:
Official:
Hyper-SDXL-1Step-T2I ByteDance/Hyper-SDXL-1Step-T2I
Hyper-SD15-Scribble ByteDance/Hyper-SD15-Scribble
Unofficial Demos: InstantStyle + Hyper SD1.5 (not great but super fast) radames/InstantStyle-Hyper-SD
InstantStyle + Hyper SDXL radames/InstantStyle-Hyper-SDXL
Here a few demos:
Official:
Hyper-SDXL-1Step-T2I ByteDance/Hyper-SDXL-1Step-T2I
Hyper-SD15-Scribble ByteDance/Hyper-SD15-Scribble
Unofficial Demos: InstantStyle + Hyper SD1.5 (not great but super fast) radames/InstantStyle-Hyper-SD
InstantStyle + Hyper SDXL radames/InstantStyle-Hyper-SDXL
Post
2202
InstantStyle works with the 2-step SDXL-Lightning distilled model, reducing generation time from ~20s to ~9s!
In a big related update, as of today, Diffusers@main supports InstantStyle. I'm looking forward to playing with it!
https://github.com/huggingface/diffusers/pull/7668
radames/InstantStyle-SDXL-Lightning
ByteDance/SDXL-Lightning
In a big related update, as of today, Diffusers@main supports InstantStyle. I'm looking forward to playing with it!
https://github.com/huggingface/diffusers/pull/7668
radames/InstantStyle-SDXL-Lightning
ByteDance/SDXL-Lightning
Post
4387
Turns out if you do a cute little hack, you can make
nateraw/musicgen-songstarter-v0.2 work on vocal inputs. 👀
Now, you can hum an idea for a song and get a music sample generated with AI 🔥🔥
Give it a try: ➡️ nateraw/singing-songstarter ⬅️
It'll take your voice and try to autotune it (because let's be real, you're no michael jackson), then pass it along to the model to condition on the melody. It works surprisingly well!
Now, you can hum an idea for a song and get a music sample generated with AI 🔥🔥
Give it a try: ➡️ nateraw/singing-songstarter ⬅️
It'll take your voice and try to autotune it (because let's be real, you're no michael jackson), then pass it along to the model to condition on the melody. It works surprisingly well!
Post
3859
Here's a utility component for integrating your Gradio app with Hugging Face. This custom component enables you to search for models, spaces, datasets, and users.
You can see it in action here. arcee-ai/mergekit-config-generator
And learn how to use it here radames/gradio_huggingfacehub_search
pip install gradio_huggingfacehub_searchYou can see it in action here. arcee-ai/mergekit-config-generator
And learn how to use it here radames/gradio_huggingfacehub_search
gagan3012
authored
3
papers
10 months ago