AI Runner 3.0.0 Development Preview: Draw and generate
Summary
TLDRIn this demonstration, the presenter introduces a new feature in an upcoming version of a creative application that utilizes two canvases: one for drawing and the other for rendering images. Utilizing the Stable Diffusion model, the presenter showcases how to generate a realistic image of a majestic mountain with a river running from it, simply by typing a prompt and adjusting the generation steps for speed. The demonstration highlights the interactive process of drawing on one canvas to enhance the generated image on the other, planning future improvements to manage multiple requests efficiently, and showing the potential for users to refine their creations through iterative drawing and prompt adjustments.
Takeaways
- 🖌️ The software features two canvases: one for drawing (left) and one for rendering images (right).
- 📷 The right canvas is used to render professional photographs, such as majestic mountains on sunny days with rivers.
- 👩🔬 The software utilizes 'Stable Diffusion' model, known for generating realistic photos, applicable to various subjects beyond just people.
- ⚙️ The demonstration involves lowering the generation steps to 15 to expedite the rendering process.
- 🔁 Upon releasing the mouse button after drawing, the software submits a new request for image-to-image conversion, using the left canvas as the base.
- 🎨 Users can draw different elements (e.g., fields, sky, mountains) which then get integrated into the rendered image on the right canvas.
- 📈 Each release of the button sends a new request, potentially leading to a queue of requests needing backend processing.
- 💡 A planned enhancement is to process only the latest request from the drawing canvas to improve efficiency and reduce load.
- 🚀 Performance may vary based on hardware, with faster video cards providing quicker results.
- 🎨🖼️ The tool allows iterative refining by adding elements such as snow or rivers to the drawing, which then reflect in the rendered image.
- ☁️ Users can add additional features like clouds to improve the composition and realism of the rendered image.
Q & A
What are the two canvases shown in the video for?
-The left canvas is for drawing and the right canvas is for rendering the AI-generated image.
What AI model is being used to generate the images?
-The video shows using Stable Diffusion model to generate the images.
How does the presenter update the generated image?
-By drawing on the left canvas and releasing the mouse button, a new request is made to update the image using the drawing as a base.
What enhancement is planned for multiple requests in queue?
-The presenter plans to only use the latest request instead of processing all requests in queue to speed things up.
How could the generated images be improved?
-By working on the prompt wording or adding more details to the drawing on the left canvas.
Why does the presenter lower the steps to 15 initially?
-To make the image generation process quicker for the demo.
What elements does the presenter add to the drawing?
-A field, blue background for the sky, details on the mountain, snow, a river, and some clouds.
Why does the presenter say the generated image looks terrible?
-Because the image quality is not refined and needs further improvements to prompt wording and drawing.
How are multiple requests handled when drawing?
-A new request is made each time a drawing change is made. This can result in a queue of requests.
What format is used for the Q&A output?
-The output is returned in JSON format containing a list of question and answer objects.
Outlines
😀 Demoing New Drawing Feature for Image Generation
The paragraph introduces a new upcoming feature that allows drawing an image on one canvas and having it rendered into a generated image on a second canvas based on a provided text prompt. It demonstrates generating an initial mountain image from the prompt text, then drawing additions like a field, sky, extra mountain details, snow, and a river which get incorporated with each mouse release into a newly generated image.
Mindmap
Keywords
💡canvas
💡mountain
💡drawing
💡queue
💡model
💡prompt
💡request
💡layer
💡interactive
💡render
Highlights
Demo of new feature with two canvases - one for drawing input and one for AI image generation output
Using Stable Diffusion model to generate images based on text prompts
Drawing input is used to continually update and refine the AI generated image
Releasing mouse after drawing triggers a new AI image generation request
Queue of requests is built up each time drawing input changes
Only latest request will be used to avoid lag from processing queue
Drawing simple shapes and colors to indicate sky, mountains, river, etc.
Output image matches and incorporates the hand-drawn input
Can iteratively add more drawing to refine and improve the image
Drawing snow on mountain tops and seeing it reflected in output
Adding a river by drawing blue shape
Output still needs more refinement but demonstrates general capabilities
Can continue drawing clouds, trees, etc to improve quality
Drawing interface allows intuitive input for image generation
Ongoing additions planned to speed up process and improve accuracy
Transcripts
okay I'm just going to show a quick
feature uh that I've
added to this upcoming version um I'm
going to change this design
slightly uh but for now what we have are
two different canvases we have one on
the left and one on the right um and
what's going on here is the left canvas
is for drawing and the right canvas is
for rendering an image um over here in
the prompt I've typed a professional
photograph of a majestic Mountain sunny
day a river runs from the
mountain um under stable diffusion we're
using this model next photo generates
realistic photos of people but also of
everything um and I've just lowered the
steps down to 15 for now just to make it
generate a little
quicker um so the first thing I'm going
to do is just hit generate and I'll
generate this image of this mountain
that's going to load up the model for
the first
time and there we have kind of a
mountain in the background and a river
in the
foreground um but now what I'm going to
do is I'm going to start drawing on this
side and what you'll have when I release
the mouse button it will make another
request using this as the base
image uh for image to image and control
that so we're going to draw here a
little bit more to like kind of make a
field um then we'll go ahead and do blue
for the background for we're just going
to draw fill the background in we'll
have like
a sky
here okay great you can see how it
basically matches
up uh with our drawing and then we're
going to choose this for the
mountain now one thing uh to note is
that each time you
release the button it's going to do
another request uh and it throws it into
a queue so you could end up with tons of
requests and each one of them has to
be filled on the back
end and when the image generates it will
get pass to this other canvas so what I
would like to do instead is when
multiple requests are in the queue and
they've come from this brush canvas I
want to only use the latest request so
that's a enhancement I'll be adding
later that it should speed this up a bit
if you have a fast video card it should
run fairly quickly
regardless um here I'm going to add a
little bit of snow to the top of the
mountain
and then we will add let's go ahead and
add that
River see what we
get it's kind of
cool of course this looks
terrible uh but we could work on our
prompt or add more uh to our drawing
here on the left and it
will uh you know slowly start to look a
little bit better
uh we could add some clouds
maybe couple of clouds in the
sky
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