comfy-plasma

comfy-plasma
★ 80

噪声生成分形噪声通道控制ComfyUI插件
为ComfyUI提供多种噪声生成节点（Plasma/Random/Greyscale/Pink/Brown/Plasma KSampler），可生成分形钻石方块云噪声并支持尺寸、湍流与RGB通道范围控制。
💡 生成分形/随机噪声用于纹理、掩码或采样器输入。
🍴 13 Forks💻 Python🔄 2024-05-22
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https://pan.quark.cn/s/86a6deb1b5f6
Example
Example
Example
Example
Example
Example
How to use it
Example
Example
📄 README

comfy-plasma

A simple plasma noise generator for ComfyUI. Other noise generators may appear over time.

Usage:

Plasma Noise:

This node generates extremely noisy fractal diamond square noise clouds.

  • Width, Height: Sets the generated image size as desired – steps in increments of 8.
  • Turbulence: Scales the noise clouds, lower values result in smoother, larger clouds, while higher values result in more static like noise.
  • Value Min/Max: Limits how dark/bright the noise can reach. -1 implies 0 and 255 for Min and Max respectively.
  • Red Min/Max: Limits how strong the red channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Green Min/Max: Limits how strong the green channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Blue Min/Max: Limits how strong the blue channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Seed: Will replicate a specific noise seed on every execution.
  • Fixed, seed stays the same after generations.
  • Increment, seed increases by 1 after generations.
  • Decrement, seed decreases by 1 after generations.
  • Randomize, seed randomly changes after generations.

    • Random Noise:

    This node generates three values per pixel, then rescales it per channel min/max values.

  • Width, Height: Sets the generated image size as desired – steps in increments of 8.
  • Value Min/Max: Limits how dark/bright the noise can reach. -1 implies 0 and 255 for Min and Max respectively.
  • Red Min/Max: Limits how strong the red channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Green Min/Max: Limits how strong the green channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Blue Min/Max: Limits how strong the blue channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Seed: Will replicate a specific noise seed on every execution.
  • Fixed, seed stays the same after generations.
  • Increment, seed increases by 1 after generations.
  • Decrement, seed decreases by 1 after generations.
  • Randomize, seed randomly changes after generations.

    • Greyscale Noise:

    This node generates one value per pixel then rescales it per channel min/max values. So a value pixel of 128 will scale to 63 when red is set to work between 0 and 128.

  • Width, Height: Sets the generated image size as desired – steps in increments of 8.
  • Value Min/Max: Limits how dark/bright the noise can reach. -1 implies 0 and 255 for Min and Max respectively.
  • Red Min/Max: Limits how strong the red channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Green Min/Max: Limits how strong the green channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Blue Min/Max: Limits how strong the blue channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Seed: Will replicate a specific noise seed on every execution.
  • Fixed, seed stays the same after generations.
  • Increment, seed increases by 1 after generations.
  • Decrement, seed decreases by 1 after generations.
  • Randomize, seed randomly changes after generations.

    • Pink Noise:

    This node generates three values per pixel, then rescales it per channel min/max values.

  • Width, Height: Sets the generated image size as desired – steps in increments of 8.
  • Value Min/Max: Limits how dark/bright the noise can reach. -1 implies 0 and 255 for Min and Max respectively.
  • Red Min/Max: Limits how strong the red channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Green Min/Max: Limits how strong the green channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Blue Min/Max: Limits how strong the blue channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Seed: Will replicate a specific noise seed on every execution.
  • Fixed, seed stays the same after generations.
  • Increment, seed increases by 1 after generations.
  • Decrement, seed decreases by 1 after generations.
  • Randomize, seed randomly changes after generations.

    • Brown Noise:

    This node generates three values per pixel, then rescales it per channel min/max values.

  • Width, Height: Sets the generated image size as desired – steps in increments of 8.
  • Value Min/Max: Limits how dark/bright the noise can reach. -1 implies 0 and 255 for Min and Max respectively.
  • Red Min/Max: Limits how strong the red channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Green Min/Max: Limits how strong the green channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Blue Min/Max: Limits how strong the blue channel can be. -1 Will use the settings of Value Min/Max instead of it’s own setting.
  • Seed: Will replicate a specific noise seed on every execution.
  • Fixed, seed stays the same after generations.
  • Increment, seed increases by 1 after generations.
  • Decrement, seed decreases by 1 after generations.
  • Randomize, seed randomly changes after generations.

    • Plasma KSampler:

  • Noise Seed: The noise seed used in Latent Noise.
  • Control After Generate:
  • Fixed, seed stays the same after generations.
  • Increment, seed increases by 1 after generations.
  • Decrement, seed decreases by 1 after generations.
  • Randomize, seed randomly changes after generations.
  • Steps: The number of steps the software should take while resolving your image.
  • CFG: How strongly should the prompts be followed? Less CFG means more creativity, more CFG means less creativity, but more accurate prompts.
  • Denoise: How much should the image be blurred to allow the model to interpret the noise/image with noise? Higher values at high resolutions can induce faces within faces. Lower values will look closer to the input image/noise but prevent faces within faces.
  • Latent Noise: How strong should the built in noise be. 0 means no noise is used, and 1 means it’s adding all the noise.
  • Distribution Type:
  • Default, uses torch.randn() which is a gaussian distributed noise algorithm. Unable to make very dark, very bright or high contrast images.
  • Rand, uses torch.rand() whch is a truly random noise algorithm. Doesn’t stick to a single random distribution and can change wildly based on input.
  • Sampler Name: Pick the one that works for you best. Some may require more steps than others.
  • Schedular: Pick the one that works for you best.

    • Example Workflow:

    Using Plasma Sampler with Plasma Noise:

    Using Plasma Sampler without Plasma Noise: