TUTORIAL for Video Input in Stable Diffusion is here: [ Ссылка ]
Here is a tutorial on How To Use Stable Diffusion to make Animations: [ Ссылка ]
Want to run Video Input using Stable Diffusion locally for FREE on your desktop computer or laptop: [ Ссылка ]
If you're interested in learning what every setting does in the Stable Diffusion Notebook I made this video explaining all of the settings with visual examples: [ Ссылка ]
JOIN this CHANNEL to get access to One on One AI Technical Support, Access to CUSTOM Colab Notebooks, Project Files, Settings Advice and UNIQUE Text Prompts:
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Are you a true fan of the channel and want to show your support in a fashionable way? Look no further! Introducing the official CSMS Logo shirt, now available in my arts for charity shop: GET ONE HERE: [ Ссылка ]
iamYork has also launched a limited clothing line where ALL PROFITS
go to independent artists: PLEASE INDULGE : [ Ссылка ]
Here is a link to the default Colab Notebook used: [ Ссылка ]
If you have never used a Google Colab Notebook before, here is a beginners tutorial I made on that topic covering the basics, in order to introduce you to using Colab Notebooks: [ Ссылка ]
iamYork Imagery is a boutique Design, Animation, and Visual Effects studio in Hell's kitchen, New York city created by Nicolas Fenrir Tengri, a mixed media artist, animator and anti-designer...
iamYork's Website [ Ссылка ]
iamYork's Royalty FREE music: [ Ссылка ]
NFT Art & Animation : Opensea: [ Ссылка ]
Instagram: [ Ссылка ]
Facebook: [ Ссылка ]
Twitter: [ Ссылка ]
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We have started a YouTube Membership program that offers various rewards including access to DOWNLOADING the notebooks and project files I use in my tutorials... plus MUCH MORE!!!
My other tutorials and case studies: [ Ссылка ]
If you just want to see more AI Anime this is that playlist: [ Ссылка ]
My "traditional" Animation and Experimental Film Work can be found here: [ Ссылка ]
Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database...
The model itself builds upon the work of the team at CompVis and Runway in their widely used latent diffusion model combined with insights from the conditional diffusion models by our lead generative AI developer Katherine Crowson, Dall-E 2 by Open AI, Imagen by Google Brain and many others. We are delighted that AI media generation is a cooperative field and hope it can continue this way to bring the gift of creativity to all...
The core dataset was trained on LAION-Aesthetics, a soon to be released subset of LAION 5B. LAION-Aesthetics was created with a new CLIP-based model that filtered LAION-5B based on how “beautiful” an image was, building on ratings from the alpha testers of Stable Diffusion. LAION-Aesthetics will be released with other subsets in the coming days...
If you have red this far down I appreciate you... We put a lot of time into making these tutorials... and it is people like you that help us keep going... Thanks again from the bottom of our blood pumping chest devices...
Rick York & Nick Tengri
Chapters : Time Stamps:
0:00 - Original Footage
0:08 - Oil on Canvas:
0:16 - Ambient Occlusion:
0:24 - Watercolor:
0:32 - Pencil Sketch:
#VideoInput #animation #stablediffusion
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