If you would like to see more detailed explanations here is a video I made running Stable Diffusion Locally with a FREE super stable diffusion web UI by Automatic1111: [ Ссылка ]

JOIN this CHANNEL to get Access to One on One AI Technical Support, CUSTOM Colab Notebooks, Project Files, Settings Advice and UNIQUE Text Prompts:
[ Ссылка ]

iamYork has also launched a limited clothing line where ALL PROFITS
go to independent artists: PLEASE INDULGE : [ Ссылка ]

I currently have the corona so my head is not 100%... So after making this video I noticed I had the random seed turned on when I was generating the images in Dream Studio... I went back and typed in a manual seed for each dream or generation and I could barely notice any significant difference between the sampling models... Hopefully this video at least showed you some cool text prompts to play with... and everyone loves the Joker...

width: 512
height: 512
steps: 100

Upscaled Images to 1024x1024 using Topaz Gigapixel AI

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...

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 ]
NFT Art & Animation : Opensea: [ Ссылка ]
Instagram: [ Ссылка ]
Facebook: [ Ссылка ]
Twitter: [ Ссылка ]
TikTok: [ Ссылка ]

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!!!
JOIN this CHANNEL to get access to EXCLUSIVE Downloads & More:
[ Ссылка ]

If you'd like to see behind the curtain this is a link to my tutorials and case studies: [ Ссылка ]

If you just want to see more GAN Anime this is that playlist: [ Ссылка ]

My "traditional" Animation and Experimental Film Work can be found here: [ Ссылка ]

Stable Diffusion is a text-to-image model that will empower billions of people to create stunning art within seconds. It is a breakthrough in speed and quality meaning that it can run on consumer GPUs. You can see some of the amazing output that has been created by this model without pre or post-processing on this page.

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 on [ Ссылка ].

Stable Diffusion runs on under 10 GB of VRAM on consumer GPUs, generating images at 512x512 pixels in a few seconds. This will allow both researchers and soon the public to run this under a range of conditions, democratizing image generation. We look forward to the open ecosystem that will emerge around this and further models to truly explore the boundaries of latent space.

The model was trained on our 4,000 A100 Ezra-1 AI ultracluster over the last month as the first of a series of models exploring this and other approaches.

They have been testing the model at scale with over 10,000 beta testers that are creating 1.7 million images a day.

If you have red this far down I appreciate you... We put a lot of time into making these tutorials... This is only the second one so far on the channel but we hope to do many more... 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

#stablediffusion #dreamstudio #thejoker

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