DemoFusion VS SEED

Compare DemoFusion vs SEED and see what are their differences.

DemoFusion

Let us democratise high-resolution generation! (CVPR 2024) (by PRIS-CV)

SEED

Official implementation of SEED-LLaMA (ICLR 2024). (by AILab-CVC)
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DemoFusion SEED
7 1
1,866 473
1.9% 5.9%
8.6 8.4
28 days ago about 1 month ago
Jupyter Notebook Python
- GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DemoFusion

Posts with mentions or reviews of DemoFusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

SEED

Posts with mentions or reviews of SEED. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

What are some alternatives?

When comparing DemoFusion and SEED you can also consider the following projects:

Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

sliders - Concept Sliders for Precise Control of Diffusion Models

ComfyUI_experiments - Some experimental custom nodes.

ziplora-pytorch - Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs"

MotionDirector - MotionDirector: Motion Customization of Text-to-Video Diffusion Models.

sd_lite - set-up Stable Diffusion with minimal dependencies and a single multi-function pipe

stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.

Specialist-Diffusion - [CVPR 2023] Specialist Diffusion: Extremely Low-Shot Fine-Tuning of Large Diffusion Models

web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

LAMP - Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)