Stable Diffusion with 6 fixed category

Lazy version of Stabel Diffusion with Civitai. Generate images with rough 6 category. Free you from choosing model in civitai. You can freely control parameters such as prompt, size, etc

Try it in the Widget Center

Click this url to try this widget and copy the Pro Config template.

Usage

Feeling too lazy to pick a model ID from Civitai? Give our pre-selected SD&LORAS a try. Effortless version of Stable Diffusion with Civitai. Produce images across approximately 6 categories. Eliminates the need to select a model in Civitai. You have the freedom to adjust parameters like prompt, size, and more.

Input Parameters

Name	Type	Description	Default	Required
category	string	Lazy to choose model id from civitai? try use our pre-picked sd&loras	Realistic & Photorealistic
prompt	string	The text prompt for image generation. Add lora? add `` to your prompt. `$id` is the series number and `$weight` is the lora weight you want (always set to 1.0). You can use multiple loras.
negative_prompt	string	The negative prompt for image generation.	(worst quality, low quality:1.4),(malformed hands:1.4),(poorly drawn hands:1.4),(mutated fingers:1.4),(extra limbs:1.35),(poorly drawn face:1.4),bad leg,strange leg, poor eyes, full screen of face
sampler	string	Sampler for diffusion model inference	DPM++ 2M Karras
height	integer	Height of the generated images	512
width	integer	Width of the generated images	512
steps	integer	Steps for sampler to step whle sampling	25
cfg_scale	number	Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results. Default to 7.	7.0
seed	integer	Random seed for generation process. -1 means random seed	-1
clip_skip	integer	Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc.	1
enable_hr	boolean	Enable the post-process high resolution. If it is set to false, please ignore the parameter with prefix `hr_`	False
hr_scale	integer	Improve the image quality by enlarging it in a way while maintains the original ratios. Default to 2. If `hr_height` or `hr_width` is set to a value other than zero, this parameter will not be applied.	2
hr_upscaler	string	The super resolution model used	ESRGAN_4x
hr_resize_x	integer	Resize width to, 0 means not defined. If x set to 0, and y is not 0, we will resize the length of image to y and change width accordingly. If x and y both not zero, use the max ratio max(hr_resize_x/image.width, hr_resize_y/image.height)	0
hr_resize_y	integer	Resize height to, 0 means not defined. If y set to 0, and x is not 0, we will resize the width of image to x and change width accordingly. If x and y both not zero, use the max ratio max(hr_resize_x/image.width, hr_resize_y/image.height)	0
hr_second_pass_steps	integer	Steps of sampling for second pass of diffusion model after hires. Set to 0 means the same steps as first pass.	0
hr_denoising_strength	number	Strength of image transfomation during hires transform. High means more influence during second pass sampling after hires	0.7

Output Parameters

Name	Type	Description	File Type
url	string	The url of generated image, stored in the cloud. Only temporarily effective, will be cleared in a few hours.	image

Output Example

success

{
  "url": "https://image.myshell.ai/image/chat/embed_obj/40295/20240423/d828b567573141a29bdb0f44a33936c1.jpg"
}

fail

throw a Http error.

Detailed Guidelines

• Unique Parameter:

  • category : Feeling too lazy to pick a model ID from Civitai? Give our pre-selected SD&LORAS a try.

    • Choose from ["Anime", "Realistic & Photorealistic", "Landscape", "Fantasy & Illustration", "3D & Cartoon", "Cute & Fantasy Characters"]