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ComfyDeploy: How comfy-plasma works in ComfyUI?

What is comfy-plasma?

Nodes: Plasma Noise, Random Noise, Greyscale Noise, Pink Noise, Brown Noise, Plasma KSampler

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for comfy-plasma and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

comfy-plasma

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

Usage:

Plasma Noise:

Example

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:

Example

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:

Example

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:

Example

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:

Example

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:

Example

  • 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:

How to use it

Using Plasma Sampler with Plasma Noise:

Example

Using Plasma Sampler without Plasma Noise:

Example