Stable Diffusion Library for .NET
Get Started
$ dotnet add package OnnxStack.StableDiffusionReadme
OnnxStack.StableDiffusion - Onnx Stable Diffusion Services for .NET Applications
OnnxStack.StableDiffusion is a library that provides higher-level Stable Diffusion services for use in .NET applications. It offers extensive support for features such as dependency injection, .NET configuration implementations, ASP.NET Core integration, and IHostedService support.
Prompt
Stable Diffusion models take a text prompt and create an image that represents the text.
Example:
High-fashion photography in an abandoned industrial warehouse, with dramatic lighting and edgy outfits, detailed clothing, intricate clothing, seductive pose, action pose, motion, beautiful digital artwork, atmospheric, warm sunlight, photography, neo noir, bokeh, beautiful dramatic lighting, shallow depth of field, photorealism, volumetric lighting, Ultra HD, raytracing, studio quality, octane render
Negative Prompt
A negative prompt can be provided to guide the inference to exclude in calculations
Example:
painting, drawing, sketches, monochrome, grayscale, illustration, anime, cartoon, graphic, text, crayon, graphite, abstract, easynegative, low quality, normal quality, worst quality, lowres, close up, cropped, out of frame, jpeg artifacts, duplicate, morbid, mutilated, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, glitch, deformed, mutated, cross-eyed, ugly, dehydrated, bad anatomy, bad proportions, gross proportions, cloned face, disfigured, malformed limbs, missing arms, missing legs fused fingers, too many fingers,extra fingers, extra limbs,, extra arms, extra legs,disfigured,
Schedulers
Many different scheduler algorithms can be used for this computation, each having its pro- and cons.
So far OnnxStack.StableDiffusion as included LMS Discrete, Euler Ancestral, DDPM, DDIM, and KDPM2 options with more in the works.
Example:
| LMS Scheduler | Euler Ancestral Scheduler |
|---|
