cuuupid/flux-lineart

Flux finetuned for black and white line art.

Capabilities

1:14:33:416:99:162:33:2Reference ImagesSeed

Cost

Community model (estimated from hardware time)

Input Parameters

Name	Type	Description	Default	Constraints
`prompt`*	string	Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.	`—`	—
`aspect_ratio`	string	Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode	`"1:1"`	1:116:921:93:22:34:55:43:44:39:169:21custom
`disable_safety_checker`	boolean	Disable safety checker for generated images.	`false`	—
`extra_lora`	string	Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'	`—`	—
`extra_lora_scale`	number	Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.	`1`	min: -1, max: 3
`go_fast`	boolean	Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16	`false`	—
`guidance_scale`	number	Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5	`3`	min: 0, max: 10
`height`	integer	Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation	`—`	min: 256, max: 1440
`image`	string(uri)	Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.	`—`	—
`lora_scale`	number	Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.	`1`	min: -1, max: 3
`mask`	string(uri)	Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.	`—`	—
`megapixels`	string	Approximate number of megapixels for generated image	`"1"`	10.25
`model`	string	Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.	`"dev"`	devschnell
`num_inference_steps`	integer	Number of denoising steps. More steps can give more detailed images, but take longer.	`28`	min: 1, max: 50
`num_outputs`	integer	Number of outputs to generate	`1`	min: 1, max: 4
`output_format`	string	Format of the output images	`"webp"`	webpjpgpng
`output_quality`	integer	Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs	`80`	min: 0, max: 100
`prompt_strength`	number	Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image	`0.8`	min: 0, max: 1
`replicate_weights`	string	Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'	`—`	—
`seed`	integer	Random seed. Set for reproducible generation	`—`	—
`width`	integer	Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation	`—`	min: 256, max: 1440

promptrequiredstring

Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.

aspect_ratiostring

Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode

Default: "1:1"

1:116:921:93:22:34:55:43:44:39:169:21custom

disable_safety_checkerboolean

Disable safety checker for generated images.

Default: false

extra_lorastring

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

extra_lora_scalenumber

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1min: -1, max: 3

go_fastboolean

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16

Default: false

guidance_scalenumber

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5

Default: 3min: 0, max: 10

heightinteger

Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

min: 256, max: 1440

imagestring

Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

lora_scalenumber

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1min: -1, max: 3

maskstring

Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

megapixelsstring

Approximate number of megapixels for generated image

Default: "1"

10.25

modelstring

Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.

Default: "dev"

devschnell

num_inference_stepsinteger

Number of denoising steps. More steps can give more detailed images, but take longer.

Default: 28min: 1, max: 50

num_outputsinteger

Number of outputs to generate

Default: 1min: 1, max: 4

output_formatstring

Format of the output images

Default: "webp"

webpjpgpng

output_qualityinteger

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80min: 0, max: 100

prompt_strengthnumber

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image

Default: 0.8min: 0, max: 1

replicate_weightsstring

seedinteger

Random seed. Set for reproducible generation

widthinteger

Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

min: 256, max: 1440

Version: 3cfd38225f82Updated: 7/25/202610.3K runs