sd-webui-modelscope-text2video VS erasing

Compare sd-webui-modelscope-text2video vs erasing and see what are their differences.

sd-webui-modelscope-text2video

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] (by deforum-art)

erasing

Erasing Concepts from Diffusion Models (by rohitgandikota)
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sd-webui-modelscope-text2video erasing
17 11
479 475
- -
10.0 5.0
about 1 year ago 6 months ago
Python Python
Apache License 2.0 MIT License
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sd-webui-modelscope-text2video

Posts with mentions or reviews of sd-webui-modelscope-text2video. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-05.

erasing

Posts with mentions or reviews of erasing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-17.

What are some alternatives?

When comparing sd-webui-modelscope-text2video and erasing you can also consider the following projects:

diffusers - ๐Ÿค— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

modelscope - ModelScope: bring the notion of Model-as-a-Service to life.

sd-webui-additional-networks

LECO - Low-rank adaptation for Erasing COncepts from diffusion models.

VideoCrafter - VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

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

Text-To-Video-Finetuning - Finetune ModelScope's Text To Video model using Diffusers ๐Ÿงจ

sd-webui-text2video - Auto1111 extension implementing text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies

lora - Using Low-rank adaptation to quickly fine-tune diffusion models.

ebsynth_utility - AUTOMATIC1111 UI extension for creating videos using img2img and ebsynth.

ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.