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Diffusers Alternatives
Similar projects and alternatives to diffusers
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CodeRabbit
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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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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stable-diffusion-webui
Discontinued Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui] (by sd-webui)
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IOPaint
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 2024-10-16.
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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
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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", )
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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
- An Interview with AMD CEO Lisa Su About Solving Hard Problems
- Diffusion Models
- StableDiffusionSafetyChecker
- 🧨 diffusers 0.24.0 is out with Kandinsky 3.0, IP Adapters, and others
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What am I missing here? wheres the RND coming from?
I'm missing something about the random factor, from the sample code from https://github.com/huggingface/diffusers/blob/main/README.md
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T2IAdapter+ControlNet at the same time
Hey people, I noticed that combining these two methods in a single forward pass increases the controllability of the generation quite a bit. I was kind of puzzled that sometimes ControlNet yielded better results than T2IAdapter for some cases, and sometimes it was the other way around, so I decided to test both at the same time, and results were quite nice. Some visuals and more motivation here: https://github.com/huggingface/diffusers/issues/5847 And it was already merged here: https://github.com/huggingface/diffusers/pull/5869
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Won't you benchmark me?
Open Parti Prompts: The better way to evaluate diffusion models (repo)
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A note from our sponsor - CodeRabbit
coderabbit.ai | 10 Dec 2024
Stats
Basic diffusers repo stats
272
26,498
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.
Popular Comparisons
- diffusers VS stable-diffusion-webui
- diffusers VS stable-diffusion
- diffusers VS lora
- diffusers VS invisible-watermark
- diffusers VS automatic
- diffusers VS Dreambooth-Stable-Diffusion
- diffusers VS sd-webui-additional-networks
- diffusers VS sd-webui-modelscope-text2video
- diffusers VS gradio
- diffusers VS LoRA
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