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description= Break down how diffusion models work, what makes them powerful for image generation, and where they re being applied across industries today.;
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Text of the page (random words):
al to getting the perfect outcomes we explored dall e 2 and stable diffusion and have consolidated our best tips and tricks to getting the most out of your prompts including prompt length artistic style and key terms to help you sculpt the images you want to generate how to prompt in general there are three main components to a prompt frame subject style an optional seed 1 frame the frame of an image is the type of image to be generated this is combined with the style later in the prompt to provide an overall look and feel of the image examples of frames include photograph digital illustration oil painting pencil drawing one line drawing and matte painting the following examples are modified versions of the base prompt painting of a person in a grocery store in the frame of an oil painting a digital illustration a realistic photo and a 3d cartoon diffusion models typically default to a picture frame if not specified though this is dependent on the subject matter by specifying a frame of an image you control the output directly by modifying the frame to polaroid you can mimic the output of a polaroid camera complete with large white borders pencil drawings can be produced as well and as already covered different painting techniques can be applied frames provide a rough guide for the output type the diffusion model should generate but in order to create remarkable images a good subject and refined style should also be added to your prompts we will cover subjects next and then detail tips and tricks for combining frames subjects and styles to fine tune your images 2 subject the main subject for generated images can be anything you can dream up diffusion models are built largely from publicly available internet data and are able to produce highly accurate images of objects that exist in the real world however diffusion models often struggle with compositionality so ideally limiting your prompts to one to two subjects is best sticking to one or two subjects produces generally good results for example chef chopping carrots on a cutting board even though there is some confusion here with a knife chopping another knife there are chopped carrots in the scene which is generally close to the original prompt however expanding to more than two subjects can produce unreliable and sometimes humorous results diffusion models tend to fuse two subjects into a single subject if the subjects are less common for example the prompt a giraffe and an elephant yields a giraffe elephant hybrid rather than a single giraffe and a single elephant interestingly there are often two animals in the scene but each is typically a hybrid some attempts to prevent this including adding in a preposition like beside have mixed results but are closer to the original intent of the prompt this issue appears subject dependent as a more popular pair of animals such as a dog and a cat generates distinct animals without a problem 3 style the style of an image has several facets key ones being the lighting the theme the art influence or the period details such as beautifully lit modern cinema or surrealist will all influence the final output of the image referring back to the prompt of chefs chopping carrots we can influence this simple image by applying new styles here we see a modern film look applied to the frames of oil painting and picture the tone of the images can be shaped by a style here we see spooky lighting you can fine tune the look of the resulting images by slightly modifying the style we start with a blank slate of a house in a suburban neighborhood by adding beautifully lit surrealist art we get much more dynamic and intense images tweaking this we can get a spooky theme to the images by replacing beautifully lit with the phrase spooky scary apply this to a different frame to get the desired output here we see the same prompt with the frame of an oil painting we can then alter the tone to happy light and see the dramatic difference in the output you can change the art style to further refine the images in this case switching from surrealist art to art nouveau as another demonstration of how the frame influences the output here we switch to watercolor with the same style different seasons can be applied to images to influence the setting and tone of the image there is a near infinite variety of combinations of frames and styles and we only scratch the surface here artists can be used to fine tune your prompts as well the following are versions of the same prompt person shopping at a grocery store styled to look like works of art from famous historic painters by applying different styles and frames along with an artist you can create novel artwork start with a base prompt of painting of a human cyborg in a city artist 8k highly detailed while the subject is a bit unorthodox for this group each painting fits the expected style profile of each artist we can alter the style by modifying the tone in this case to muted tones you can further alter the output by modifying both the frame and the tone to get unique results in this case a frame of a 3d model painting with neon tones adding the qualifier the most beautiful image you ve ever seen yields eye catching results and depictions such as 3d model paintings yield unique novel works of art by modifying the frame and style of the image you can yield some amazing and novel results try different combinations of style modifiers including dramatic lighting or washed colors in addition to the examples that we provided to fine tune your concepts further we hardly scratched the surface in this guide and look forward to amazing new creations from the community 4 seed a combination of the same seed same prompt and same version of stable diffusion will always result in the same image if you are getting different images for the same prompt it is likely caused by using a random seed instead of a fixed seed for example bright orange tennis shoes realistic lighting e commerce website can be varied by modifying the value of the random seed changing any of these values will result in a different image you can hold the prompt or seed in place and traverse the latent space by changing the other variable this method provides a deterministic way to find similar images and vary the images slightly varying the prompt to bright blue suede dress shoes realistic lighting e commerce website and holding the seed in place at 3732591490 produces results with similar compositions but matching the desired prompt and again holding that prompt in place and traversing the latent space by changing the seed produces different variations to summarize a good way to structure your prompts is to include the elements of frame main subject style type modifiers or a frame type of a main subject style example and an optional seed the order of these exact phrases may alter your outcome so if you are looking for a particular result it is best to experiment with all of these values until you are satisfied with the result 4 prompt length generally prompts should be just as verbose as you need them to be to get the desired result it is best to start with a simple prompt to experiment with the results returned and then refine your prompts extending the length as needed however many fine tuned prompts already exist that should be reused or modified modifiers such as ultra realistic octane render and unreal engine tend to help refine the quality of images as you can see in some of the examples below a female daytrader with glasses in a clean home office at her computer working looking out the window ultra realistic concept art intricate details serious highly detailed photorealistic octane render 8 k unreal engine portrait photo of a man staring serious eyes with green purple and pink facepaint 50mm portrait photography hard rim lighting photography beta ar 2 3 beta upbeta extremely detailed wide angle photograph atmospheric night reflections award winning contemporary modern interior design apartment living room cozy and calm fabrics and textiles geometric wood carvings colorful accents reflective brass and copper decorations reading nook many light sources lamps oiled hardwood floors color sorted book shelves couch tv desk plants hyperrealistic and heavy detailed fashion week runway show in the year 2050 leica sl2 50mm vivid color high quality high textured real life full body cyberpunk style sculpture of a young handsome colombian prince half android with a chest opening exposing circuitry and electric sparks glowing pink eyes crown of blue flowers flowing salmon colored silk fabric raptors baroque elements full length view baroque element intricate artwork by caravaggio many many birds birds on background trending on artstation octane render cinematic lighting from the right hyper realism octane render 8k depth of field 3d architectural illustration of an awesome sunny day environment concept art on a cliff architecture by kengo kuma with village residential area mixed development high rise made up staircases balconies full of clear glass facades cgsociety fantastic realism artstation hq cinematic volumetric lighting vray 5 additional tips a few additional items are worth mentioning placing the primary subject of the image closer to the beginning of the prompt tends to ensure that subject is included in the image for instance compare the two prompts a city street with a black velvet couch at times will miss the intent of the prompt entirely and the resulting image will not include a couch by rearranging the prompt to have the keyword couch closer to the beginning of the prompt the resulting images will almost always contain a couch there are combinations of subject and location that tend to yield poor results for instance a black velvet couch on the surface of the moon yields uneven results with different backgrounds and missing couches entirely however a similar prompt a black velvet couch in a desert tends to reflect the intent of the prompt capturing the velvet material the black color and the characteristics of the scene more accurately presumably there are more desert images contained in the training data making the model better at creating coherent scenes for deserts than the moon prompt engineering is an ever evolving topic with new tips and tricks being uncovered daily as more businesses discover the power of diffusion models to help solve their problems it is likely that a new type of career prompt engineer will emerge diffusion model limitations as powerful as they are diffusion models do have limitations some of which we will explore here disclaimer given the rapid pace of development these limitations are noted as of october 2022 face distortion faces become substantially distorted when the number of subjects exceeds 3 for example a family of six in a conversation at a cafe looking at each other and holding coffee cups a park in the background across the street leica sl2 50mm vivid color high quality high textured real life the faces become substantially distorted however increasing the number of subjects in the prompt causes the faces to become substantially distorted for example this updated prompt a family of six in a conversation at a cafe looking at each other and holding coffee cups a park in the background across the street leica sl2 50mm vivid color high quality high textured real life results in the following text generation in an ironic twist diffusion models are notoriously bad at generating text within images even though the images are generated from text prompts which diffusion models handle well for the prompt a man at a conference wearing a black t shirt with the word scale written in neon text the generated image will include words on the shirt in the best case but will not recreate scale in this case instead including the letters sc sa salee in other cases the words will be on signs the wall or not included at all this will likely to be fixed in future versions of these models but it is interesting to note limited prompt understanding for some images it does require a lot of massaging of the prompt to get the desired output reducing the potential efficiency of these models for a productivity tool though they are still a net productivity add diffusion models additional capabilities and tooling diffusion models flexibility gives them more capabilities than just pure image generation inpainting is an image editing capability that enables users to modify regions of an image and replace those regions with generated content from the diffusion model the model references surrounding pixels to ensure that the generations fit the context of the original image many tools enable changes within an image real world images or generated images by erasing or applying a mask to a specific image region and then asking the model to fill in the image with new content with inpainting you start with a real world or generated image in this case the image is of a model leaning against a wall in a modern city you then apply a mask to the areas of the image you would like to replace similar to erasing areas of the image first we will replace the jacket that the model is wearing then we will generate new clothing for the model to wear in this case a beautiful fancy gown shiny with pink highlights or a bright purple and pink wool jacket with orange highlights and highly detailed the images above maintain the original pose but these models can also suggest new poses in this case moving the arm down to the side as seen in this example a glowing neon jacket purple and pink diversity of materials is demonstrated as well with a leather jacket with gold studs and also with a shiny translucent coat neon inpainting can also replace background elements either by simply removing them and filling in the background or generating new backgrounds that did not exist in the original image start with masking out the poles in the background to generate a new background apply a mask to and generate new scenes in this case a futuristic cityscape with flying cars as you can see inpainting is quite powerful for editing images quickly and generating new scenes dynamically in the future expect the capabilities of these tools to be even more efficient without requiring the user to edit a mask by simply describing the desired edits i e replace the background with a futuristic cityscape the image will automatically be edited with no mouse clicks or keystrokes needed 2 outpainting outpainting enables users to extend their creativity by continuing an image beyond its original borders adding visual elements in the same style or taking a story in new directions simply by using natural language description starting with a real world image or a generated image you can extend that image beyond the original borders until you have a larger coherent scene real world image outpainting start by uploading an image and selecting a region on the outside border where you would like to ext...
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