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Diffusers Alternatives
Similar projects and alternatives to diffusers
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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diffusionbee-stable-diffusion-ui
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
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stable-diffusion
Discontinued This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI] (by lstein)
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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stablediffusion
Discontinued High-Resolution Image Synthesis with Latent Diffusion Models [GET https://api.github.com/repos/Stability-AI/stablediffusion: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
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stable-diffusion-webui
Discontinued Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui] (by sd-webui)
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by ShivamShrirao)
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles. (by JoePenna)
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IOPaint
Discontinued Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
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sd-webui-modelscope-text2video
Discontinued Auto1111 extension consisting of implementation of text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies [Moved to: https://github.com/deforum-art/sd-webui-text2video]
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intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
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kernl
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better diffusers alternative or higher similarity.
diffusers discussion
diffusers reviews and mentions
Posts with mentions or reviews of diffusers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-12-19.
- 2025 Complete Guide: Qwen-Image-Layered - Revolutionary AI Image Layer Decomposition Technology
# Step 1: Install required packages pip install transformers>=4.51.3 pip install git+https://github.com/huggingface/diffusers pip install python-pptx torch pillow # Step 2: Verify CUDA availability (for GPU users) python -c "import torch; print(torch.cuda.is_available())"
- Notes on the margins
Diffusers Documentation
- How to Install & Run Qwen Image
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 pip install einops timm pillow pip install git+https://github.com/huggingface/transformers pip install git+https://github.com/huggingface/accelerate pip install git+https://github.com/huggingface/diffusers pip install huggingface_hub pip install sentencepiece bitsandbytes protobuf decord numpy
- Qwen-Image by Tongyi Achieves New SOTA in Image Generation, Disrupting the Open-Source Landscape
System requirements: 24GB GPU memory and 64GB+ RAM > pip install git+https://github.com/huggingface/diffusers
- How to Install FLUX.1-Kontext-Dev Locally?
pip install --upgrade pip pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 pip install git+https://github.com/huggingface/diffusers.git pip install transformers accelerate safetensors numpy pillow
- Inter-Process Communication between NodeJS and Python
I'm not a fan of Python, but it is the languange of choice for most Machine Learning code. I'm currently working on a NodeJS based project where I need to call the HuggingFace Diffusers python module. So I came up with an IPC wrapper around the the Python script.
- How to Install & Run VideoLLaMA3-7B Locally
!pip install torch torchvision torchaudio einops timm pillow !pip install git+https://github.com/huggingface/transformers !pip install git+https://github.com/huggingface/accelerate !pip install git+https://github.com/huggingface/diffusers !pip install huggingface_hub !pip install sentencepiece bitsandbytes protobuf decord ffmpeg-python imageio opencv-python
- I Self-Hosted Llama 3.2 with Coolify on My Home Server: A Step-by-Step Guide
> All the self-hosted LLM and text-to-image models come with some restrictions trained into them
https://github.com/huggingface/diffusers/issues/3422
- How to Run FLUX1 for Free: A Step-by-Step Guide
import modal image = modal.Image.debian_slim(python_version="3.10").apt_install( "libglib2.0-0", "libsm6", "libxrender1", "libxext6", "ffmpeg", "libgl1", "git" ).pip_install( "git+https://github.com/huggingface/diffusers.git", "invisible_watermark", "transformers", "accelerate", "safetensors", "sentencepiece", )
- Run Flux.1 on M3 Mac with Diffusers
pip install torch==2.3.1 pip install git+https://github.com/huggingface/diffusers.git pip install transformers==4.43.3 sentencepiece==0.2.0 accelerate==0.33.0 protobuf==5
- A note from our sponsor - SaaSHub www.saashub.com | 23 Dec 2025
Stats
Basic diffusers repo stats
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32,137
9.9
4 days ago
huggingface/diffusers is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of diffusers is Python.
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