Lykon/DreamShaper
DreamShaper started as a model to have an alternative to MidJourney in the open source world. I didn't like how MJ was handled back when I started and how closed it was and still is, as well as the lack of freedom it gives to users compared to SD. Look at all the tools we have now from TIs to LoRA, from ControlNet to Latent Couple. We can do anything. The purpose of DreamShaper has always been to make "a better Stable Diffusion", a model capable of doing everything on its own, to weave dreams.
DreamShaper started as a model to have an alternative to MidJourney in the open source world. I didn't like how MJ was handled back when I started and how closed it was and still is, as well as the lack of freedom it gives to users compared to SD. Look at all the tools we have now from TIs to LoRA, from ControlNet to Latent Couple. We can do anything. The purpose of DreamShaper has always been to make "a better Stable Diffusion", a model capable of doing everything on its own, to weave dreams.
HTTP/cURL API
Input fields
num_inference_stepsinteger
number of denoising steps
Default value: 25
Range: 1 ≤ num_inference_steps ≤ 512
guidance_scalenumber
classifier-free guidance, higher means follow prompt more closely
Default value: 7.5
Range: 1 ≤ guidance_scale ≤ 20
strengthnumber
how much to follow the input image. 1 means ignore the image, 0 means follow the image exactly
Default value: 0.8
Range: 0 ≤ strength ≤ 1
widthinteger
image width in px
Default value: 512
Allowed values: 1282563844485125766407047688328969601024
heightinteger
image height in px
Default value: 512
Allowed values: 1282563844485125766407047688328969601024
webhookfile
The webhook to call when inference is done, by default you will get the output in the response of your inference request
