Hugging Face's logo

ControlNet 1.1 Preview

Activity Feed Request to join this org

AI & ML interests

None defined yet.

Recent Activity

sayakpaul  authored a paper 19 days ago
A Noise is Worth Diffusion Guidance
sayakpaul  authored a paper 4 months ago
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
williamberman  authored a paper 6 months ago
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data
View all activity

ControlNet-1-1-preview's activity

sayakpaul 
posted an update 1 day ago
akhaliq 
posted an update 6 days ago
view post
Post
2299
Google drops Gemini 2.0 Flash Thinking

a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts. The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more

now available in anychat, try it out: akhaliq/anychat
sayakpaul 
posted an update 7 days ago
view post
Post
1537
In the past seven days, the Diffusers team has shipped:

1. Two new video models
2. One new image model
3. Two new quantization backends
4. Three new fine-tuning scripts
5. Multiple fixes and library QoL improvements

Coffee on me if someone can guess 1 - 4 correctly.
  • 1 reply
·
sayakpaul 
posted an update 15 days ago
view post
Post
2039
Introducing a high-quality open-preference dataset to further this line of research for image generation.

Despite being such an inseparable component for modern image generation, open preference datasets are a rarity!

So, we decided to work on one with the community!

Check it out here:
https://huggingface.co./blog/image-preferences
·
sayakpaul 
posted an update 16 days ago
view post
Post
2095
The Control family of Flux from @black-forest-labs should be discussed more!

It enables structural controls like ControlNets while being significantly less expensive to run!

So, we're working on a Control LoRA training script 🤗

It's still WIP, so go easy:
https://github.com/huggingface/diffusers/pull/10130
sayakpaul 
authored a paper 19 days ago
sayakpaul 
posted an update 26 days ago
akhaliq 
posted an update 27 days ago
view post
Post
3744
QwQ-32B-Preview is now available in anychat

A reasoning model that is competitive with OpenAI o1-mini and o1-preview

try it out: akhaliq/anychat
  • 1 reply
·
akhaliq 
posted an update 27 days ago
view post
Post
3670
New model drop in anychat

allenai/Llama-3.1-Tulu-3-8B is now available

try it here: akhaliq/anychat
akhaliq 
posted an update about 1 month ago
view post
Post
2662
anychat

supports chatgpt, gemini, perplexity, claude, meta llama, grok all in one app

try it out there: akhaliq/anychat
sayakpaul 
posted an update about 1 month ago
view post
Post
2598
It's been a while we shipped native quantization support in diffusers 🧨

We currently support bistandbytes as the official backend but using others like torchao is already very simple.

This post is just a reminder of what's possible:

1. Loading a model with a quantization config
2. Saving a model with quantization config
3. Loading a pre-quantized model
4. enable_model_cpu_offload()
5. Training and loading LoRAs into quantized checkpoints

Docs:
https://huggingface.co./docs/diffusers/main/en/quantization/bitsandbytes
  • 1 reply
·
sayakpaul 
posted an update 3 months ago
view post
Post
2752
Did some little experimentation to resize pre-trained LoRAs on Flux. I explored two themes:

* Decrease the rank of a LoRA
* Increase the rank of a LoRA

The first one is helpful in reducing memory requirements if the LoRA is of a high rank, while the second one is merely an experiment. Another implication of this study is in the unification of LoRA ranks when you would like to torch.compile() them.

Check it out here:
sayakpaul/flux-lora-resizing
  • 1 reply
·
sayakpaul 
authored a paper 4 months ago
sayakpaul 
posted an update 4 months ago
sayakpaul 
posted an update 5 months ago
view post
Post
4478
Flux.1-Dev like images but in fewer steps.

Merging code (very simple), inference code, merged params: sayakpaul/FLUX.1-merged

Enjoy the Monday 🤗
·
sayakpaul 
posted an update 5 months ago
view post
Post
3793
With larger and larger diffusion transformers coming up, it's becoming increasingly important to have some good quantization tools for them.

We present our findings from a series of experiments on quantizing different diffusion pipelines based on diffusion transformers.

We demonstrate excellent memory savings with a bit of sacrifice on inference latency which is expected to improve in the coming days.

Diffusers 🤝 Quanto ❤️

This was a juicy collaboration between @dacorvo and myself.

Check out the post to learn all about it
https://huggingface.co./blog/quanto-diffusers
·
multimodalart 
posted an update 5 months ago
williamberman 
authored a paper 6 months ago
sayakpaul 
posted an update 6 months ago
sayakpaul 
posted an update 6 months ago
view post
Post
3131
What is your favorite part of our Diffusers integration of Stable Diffusion 3?

My personal favorite is the ability to run it on a variety of different GPUs with minimal code changes.

Learn more about them here:
https://huggingface.co./blog/sd3