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DreamShaper (Sinkin)

Generate high-quality images with AI, fast and free.

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DreamShaper (Sinkin)

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Generate high-quality images with AI, fast and free.

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Overview Discussion 9

Overview

DreamShaper is an artificial intelligence (AI) tool designed to generate high-quality images quickly. It employs a Stable Diffusion AI model, which is ideally suited for image formation.

Users can integrate with their APIs to boost their applications with this cutting-edge technology. DreamShaper offers details enhancer tweaks and a variety of styles from numerous models to customize their image generation process.

This enables users to add unique touches to the images generated, ensuring they align perfectly with their specific needs and preferences. Available styles include 'Contrast Fix', 'SamDoesArts Style', 'KoreanDollLikeness V2', '3D rendering style', and many more.

Each style incorporates different elements imported from the referenced models. More advanced settings are available for users who want finer control over their image generation, including image width and height adjustments, model version selection, and guidance scale determination.

Multiple models can be selected simultaneously to instill distinctive characteristics in the generated output. DreamShaper also provides a range of strength levels to accommodate both subtle and significant transformations based on ideal outcomes.

All these features make DreamShaper a versatile tool for diverse image-related projects.

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DreamShaper (Sinkin)Initial

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Initial release

January 19, 2023

Initial release of DreamShaper (Sinkin).

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3.1

Average from 22 ratings.

★ ★ ★ ★ ★ 9

★ ★ ★ ★ 3

★ ★ ★ 0

★ ★ 1

★ 9

Comments(9)

Blake O'Ruairi

Mar 6, 2025

@ initial release

Rated it

I tried to use it with a simple prompt, and a complex prompt. Both gave me totally useless images. Sorry, but thats what I got - nothing close to how my prompt was, nothing downloadable. This was the in depth prompt I asked to the image created with. Font: A sans-serif font that is bold, modern, and slightly condensed. Color Usage: A strong contrast between the two colors. The "Dash" is in a vibrant orange, while "board" is in a light gray, almost white. Overall Feel: Clean, simple, and professional. I'll use these characteristics to create the "On Air" logo variations. Here are the 4 variations of the "On Air" logo: Variation 1: "On": A vibrant, deep blue (#0047AB) "Air": A crisp, clean white (#FFFFFF) Font: A bold, sans-serif font similar to the "Dashboard" example. Variation 2: "On": A lighter, more electric blue (#4169E1) "Air": A soft, off-white (#F5F5F5) Font: The same bold, sans-serif font. Variation 3: "On": White (#FFFFFF) "Air": The vibrant, deep blue (#0047AB) Font: The same bold, sans-serif font. Variation 4: "On": The soft, off-white (#F5F5F5) "Air": The lighter, more electric blue (#4169E1) Font: The same bold, sans-serif font.

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RunFlux

🙏 1 karma

Jan 8, 2025

@ initial release

Rated it

Iconic Stable Diffusion model, worth trying out

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Stone Tale

Jan 7, 2025

@ initial release

Rated it

love the site, so many models to use for different purposes

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Tom Hanks

🙏 2 karma

Jan 7, 2025

@ initial release

Rated it

Great model, fast and high quality results, 100 free credits to start with

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Joe Li

🙏 8 karma

Jan 6, 2025

@ initial release

Rated it

Hi - I'm the developer of SinkIn and I want to apologize about the 0 starting credit bug the site had recently. Now it's fixed and new users should have 100 free credits as before.

6 Reply Share Edit Delete Report

Antonio García

Jan 2, 2025

@ initial release

Rated it

You start with zero credits

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Joe Li

🙏 8 karma

Jan 6, 2025

@ initial release

Rated it

Hey Antonio - I'd like to apologize for the 0 credit issue we had recently, it was due to a bug and now it's fixed. Let me know if you want to try again and I can add 1000 credits to your account as a remedy of the unpleasant experience.

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Antonio García

Jan 9, 2025

@ initial release

Rated it

Thanks for your reply. I logged back in, but it's still showing zero credits. It prompted me to check my email for a login link, but I never got it.

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Joe Li

🙏 8 karma

Jan 12, 2025

@ initial release

Rated it

Hi Antonio - I don't have your account email yet so I don't know which account to add credits to. Can you give me the email you used for SinkIn?

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Pros and Cons

Pros

Generates images quickly

Extensive style options

Option to purchase credits

Sign-in with Google/email

High-quality image output

API Integration capability

Enhancer tweak availability

Multiple style selections

Wide range of strength levels

Supports advanced settings

Allows images width/height adjustment

Supports multiple model selection

Customizable guidance scale

Different upscale types

Leaves minimum space for randomness (Seed)

Highly customizable settings

Provision of style run counts

Configurable number of inference steps

Procures high-detailed images

Supports 3D rendering style

Style based on famous artists

Unique styles for realistic generation

Customizable models' version

Prompt-based customized results

Scheduled model processing

Number of images control

Customizable LORA scale

ControlNet feature for transformations

Negative prompt customization

User checkpoint runs

View 25 more pros

Cons

Requires purchase of credits

Processing times vary

Limited maximum inference steps

Model selection lacks clarity

No option for random model

Stylistic elements not fully explained

Complex advanced settings

Model version selection ambiguity

LoRA scale significance unclear

Guidance scale limit restrictions

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Q&A

What is DreamShaper?

DreamShaper is an AI-powered tool for creating and customizing generative models. It is particularly adept at image generation, delivering high-quality results quickly. DreamShaper utilizes a Stable Diffusion AI model, which is designed for image formation. It provides various customizations, such as enhancer tweaks, several styles derived from different models, and advanced settings for the user's control over the image generation process.

How does DreamShaper work to generate images?

DreamShaper works by using the Stable Diffusion AI model to generate images. Variables including the prompt, number of inference steps, guidance scale, number of images, image dimensions, and the chosen scheduler are taken into account to produce the final image. The user can customize these parameters to influence the outcome. They can also choose particular styles to bring unique elements from referenced models to their images. The user submits their model, and the result is generated within 30 to 90 seconds.

How can I sign in with my Google account or email?

Users can sign in to DreamShaper by clicking on the Sign In option which opens the interface to input credentials. There they can select to sign in with their Google account or enter their email address. The interface will direct them through the required authorization or verification steps.

What are the steps to customize models in DreamShaper?

To customize models in DreamShaper, users start by signing in to their account. After obtaining access, they can navigate to the customization settings. Here they can adjust attributes such as prompt, inference steps, guidance scale, number of images to be generated, and image dimensions including both width and height. Users can also select the preferred styler and set the scheduler. Once all parameters are set, the model can be submitted for processing.

What kind of results can I expect in terms of processing time?

DreamShaper is designed to generate the result within a range of 30 to 90 seconds. This time-frame varies based on the complexity of the model and the user's specified image settings.

How to purchase credits in DreamShaper?

Users can purchase credits in DreamShaper after signing in to their account. The platform offers an option to purchase credits, though the exact process isn't explicitly detailed in the provided information.

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Can I generate multiple images using DreamShaper?

Yes, DreamShaper does allow users to generate multiple images. The number of images to be generated can be specified in the setup phase prior to submitting the model for processing.

How does the 'Contrast Fix' style influence the generated image?

'Contrast Fix' is a style available in DreamShaper that users can select to influence the result of their generated image. The specific effect it has isn't detailed, but likely modifies the contrast or clarity of the image, adhering to the aesthetics of contrast fix modeling.

What is the '3D rendering style' in the selection of DreamShaper?

'3D rendering style' is one of the styles available in DreamShaper's selection. While the specific attributes aren't detailed, it's reasonable to infer that selecting this style imparts a three-dimensional aesthetic to the generated images, simulating depth and perspective similar to a 3D rendering.

How can APIs integrate with DreamShaper?

DreamShaper provides APIs to integrate with third-party applications. While the exact process isn't detailed in the provided data, typically an API provides a set of commands, functions, and protocols which enable one software to interact with another. By integrating with DreamShaper's API, users can bring DreamShaper's image generation capabilities directly into their own applications.

What are the features of the 'Stable Diffusion AI' model used by DreamShaper?

The Stable Diffusion AI model used by DreamShaper excels in image formation. It's effectively applied in generating high-quality images quickly, catering to a wide range of imaginery projects from subtle transformations to significant alterations.

What does 'SamDoesArts Style' and 'KoreanDollLikeness V2' style mean?

'SamDoesArts Style' and 'KoreanDollLikeness V2' are two of the many design models available in DreamShaper. As the naming suggests the 'SamDoesArts Style' likely manipulates images in a manner akin to the art style of the referenced Sam, while 'KoreanDollLikeness V2' likely enhances images with features characteristic of a Korean doll likeness.

How can I use the 'enhancer tweaks' in DreamShaper?

To use the enhancer tweaks in DreamShaper, users must select from the available enhancements during the setup process. These adjustments, presumably tune specific attributes or features in the image to enhance the final qualities of the generated image.

What advanced settings are available for customizing image generation?

In DreamShaper, the advanced settings are for users seeking finer control over image generation. These settings include the option to adjust image dimensions (width and height), specify the model version, determine the guidance scale, and select from various scheduler types.

How do the upscale types 'Hi-Res Fix' and 'ESRGAN' differ?

'Hi-Res Fix' and 'ESRGAN' are two upscale types available in DreamShaper. 'Hi-Res Fix' offers highly detailed results at twice the original scale, but it's costlier due to its high detail preservation. Conversely, 'ESRGAN' smooths out details and provides 2-4x scale enhancement at a cheaper cost.

What is the significance of the 'strength' setting in DreamShaper?

The 'strength' setting in DreamShaper refers to the intensity of the transformation to be applied in the image generation process. Users can select the desired level of strength to accommodate both subtle and significant modifications based on their desired outcomes.

How do I use the 'detail enhancer' in DreamShaper?

The 'detail enhancer' in DreamShaper presumably magnifies the particulars of the generated image. Users can select this during the customization phase prior to submitting their model for processing. Though it's not clear how users specify the intensity of the detail enhancement.

Can I choose multiple styles simultaneously in DreamShaper?

Yes, DreamShaper does allow users to select multiple styles at the same time. By choosing multiple styles, users can composite distinctive characteristics from each selected style into their final generated image.

What does 'guidance scale' mean in the advanced settings?

In DreamShaper, 'guidance scale' is a parameter in the advanced settings. While the specific meaning wasn't defined, it's reasonable to say that it could strongly influence the direction of the image generation process, guiding it to a certain scale or magnitude.

What is LCM and how does it influence the image generation in DreamShaper?

LCM, although not explicitly defined, appears as an optional setting in DreamShaper. By toggling it on or off, users can influence the image generation process. Considering its common meaning in computing as 'Least Common Multiple', it's potentially a mechanism for harmonizing the selected models or styles in the generation process.

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