https://www.youtube.com/watch?v=XHWdrlSAga4
Resource: https://civitai.com/articles/2379/guide-comfyui-animatediff-guideworkflows-including-prompt-scheduling-an-inner-reflections-guide

https://stable-diffusion-art.com/animatediff/
Video generation with Stable Diffusion is improving at unprecedented speed. In this post, you will learn how to use AnimateDiff, a video production technique detailed in the article AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning by Yuwei Guo and coworkers.. AnimateDiff is one of the easiest ways to generate videos with Stable Diffusion.

https://civitai.com/articles/3027/how-to-use-controlnet-with-animatediff-tutorial
3.Move downloaded file to "StableDiffusion Directory\extensions\sd-webui-controlnet\models" close and restart webui-user. ComfyUI user can download json file on the right, then use "ComfyUI Manager" to "Install Missing Custom Nodes" to install, and Download controlnet model, Move downloaded file to "ComfyUI Directory \models\controlnet" How to use:

https://www.reddit.com/r/StableDiffusion/comments/17aot3u/animatediff_controlnet_tests/
Now the extension accepts the --xformers argument, also try to utilize a combination of batch and size that doesnt overflow into ram utilizing the 531.61 nvidia driver if you have low vram (less than 12gb).

https://github.com/Stability-AI/StableDiffusion
Stable Diffusion v2. Stable Diffusion v2 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 865M UNet and OpenCLIP ViT-H/14 text encoder for the diffusion model. The SD 2-v model produces 768x768 px outputs.

https://www.reddit.com/r/StableDiffusion/comments/171l0ip/9_animatediff_comfy_workflows_that_will_steal/
4. Vid2QR2Vid: You can see another powerful and creative use of ControlNet by Fictiverse here.. 5. Txt/Img2Vid + Upscale/Interpolation: This is a very nicely refined workflow by Kaïros featuring upscaling, interpolation, etc. - lots of pieces to combine with other workflows: . 6. Motion LoRAs w/ Latent Upscale:

https://www.reddit.com/r/StableDiffusion/comments/168igg6/animatediff_combined_with_controlnet_how_to/
/r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site.

https://www.nextdiffusion.ai/tutorials/how-to-make-gif-animations-with-stable-diffusion-animatediff
Installing AnimateDiff Extension. To get started, you don't need to download anything from the GitHub page. Instead, go to your Stable Diffusion extensions tab. Click on "Available", then "Load from", and search for "AnimateDiff" in the list. Click on "Install" to add the extension. If you can't find it in the search, make sure to Uncheck "Hide

https://stability.ai/news/stable-diffusion-3
The Stable Diffusion 3 suite of models currently ranges from 800M to 8B parameters. This approach aims to align with our core values and democratize access, providing users with a variety of options for scalability and quality to best meet their creative needs. Stable Diffusion 3 combines a diffusion transformer architecture and flow matching.

https://education.civitai.com/beginners-guide-to-animatediff/
AnimateDiff, based on this research paper by Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, and Bo Dai, is a way to add limited motion to Stable Diffusion generations. Supporting both txt2img & img2img, the outputs aren't always perfect, but they can be quite eye-catching, and the fidelity and smoothness of the outputs has

https://stablediffusionweb.com/
Online. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds. Create beautiful art using stable diffusion ONLINE for free.

https://easywithai.com/resources/animatediff/
AnimateDiff. AnimateDiff is an extension for Stable Diffusion that lets you create animations from your images, with no fine-tuning required! If you're using the AUTOMATIC1111 Stable Diffusion interface, this extension can be easily added through the extensions tab. Once you've added the extension, you'll see some new motion models which

https://github.com/guoyww/animatediff/
AnimateDiff. This repository is the official implementation of AnimateDiff [ICLR2024 Spotlight]. It is a plug-and-play module turning most community models into animation generators, without the need of additional training. AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

https://stable-diffusion-art.com/controlnet/
Option 2: Command line. If you are comfortable with the command line, you can use this option to update ControlNet, which gives you the comfort of mind that the Web-UI is not doing something else. Step 1: Open the Terminal App (Mac) or the PowerShell App (Windows). Step 2: Navigate to ControlNet extension's folder.

https://en.wikipedia.org/wiki/Stable_Diffusion
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other

https://stabledifffusion.com/webui
Stable Diffusion Web UI is a browser interface based on the Gradio library for Stable Diffusion. It provides a user-friendly way to interact with Stable Diffusion, an open-source text-to-image generation model. The Web UI offers various features, including generating images from text prompts (txt2img), image-to-image processing (img2img

https://github.com/runwayml/stable-diffusion
Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L/14 text encoder for the diffusion model. The model was pretrained on 256x256 images and then finetuned on 512x512 images. Note: Stable Diffusion v1 is a general text-to-image diffusion

https://www.reddit.com/r/StableDiffusion/comments/16f6xjc/animation_inbetween_frames_using_animatediff/
0- The requirements : AnimateDiff use huge amount of VRAM to generate 16 frames with good temporal coherence, and outputing a gif, the new thing is that now you can have much more control over the video by having a start and ending frame. 512x512 = ~8.3GB VRAM. 768x768 = ~11.9GB VRAM. 768x1024 = ~14.1GB VRAM.

https://stable-diffusion-art.com/
Stable Diffusion is a free AI model that turns text into images. This site offers easy-to-follow tutorials, workflows and structured courses to teach you everything you need to know about Stable Diffusion.

https://www.howtogeek.com/830179/how-to-run-stable-diffusion-on-your-pc-to-generate-ai-images/
Click the Start button and type "miniconda3" into the Start Menu search bar, then click "Open" or hit Enter. We're going to create a folder named "stable-diffusion" using the command line. Copy and paste the code block below into the Miniconda3 window, then press Enter. cd C:/mkdir stable-diffusioncd stable-diffusion.

https://www.reddit.com/r/StableDiffusion/comments/17biwce/my_first_animatediff_video_using_only_controlnets/
/r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site.

https://github.com/AUTOMATIC1111/stable-diffusion-webui
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https://www.reddit.com/r/StableDiffusion/comments/159w2rm/animatediff_controlnet/
/r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site.