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https://github.com/invoke-ai/InvokeAI
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updated copy
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Jennifer Player
parent
f0d4c71960
commit
115d92b1ae
@ -1424,9 +1424,8 @@
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"clipSkip": {
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"heading": "CLIP Skip",
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"paragraphs": [
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"Choose how many layers of the CLIP model to skip.",
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"Some models work better with certain CLIP Skip settings.",
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"A higher value typically results in a less detailed image."
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"How many layers of the CLIP model to skip.",
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"Certain models are better suited to be used with CLIP Skip."
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]
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},
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"paramNegativeConditioning": {
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@ -1446,7 +1445,8 @@
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"paramScheduler": {
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"heading": "Scheduler",
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"paragraphs": [
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"Scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output."
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"Scheduler used during the generation process.",
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"Each scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output."
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]
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},
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"compositingBlur": {
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@ -1463,47 +1463,52 @@
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},
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"compositingCoherenceMode": {
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"heading": "Mode",
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"paragraphs": ["The mode of the Coherence Pass."]
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"paragraphs": ["Method used to create a coherent image with the newly generated masked area."]
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},
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"compositingCoherenceSteps": {
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"heading": "Steps",
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"paragraphs": ["Number of denoising steps used in the Coherence Pass.", "Same as the main Steps parameter."]
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"paragraphs": ["Number of steps in the Coherence Pass.", "Similar to Generation Steps."]
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},
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"compositingStrength": {
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"heading": "Strength",
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"paragraphs": [
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"Denoising strength for the Coherence Pass.",
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"Same as the Image to Image Denoising Strength parameter."
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]
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"paragraphs": ["Amount of noise added for the Coherence Pass.", "Similar to Denoising Strength."]
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},
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"compositingMaskAdjustments": {
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"heading": "Mask Adjustments",
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"paragraphs": ["Adjust the mask."]
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},
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"controlNetBeginEnd": {
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"heading": "Begin / End Step Percentage",
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"paragraphs": [
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"Which steps of the denoising process will have the ControlNet applied.",
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"ControlNets applied at the beginning of the process guide composition, and ControlNets applied at the end guide details."
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]
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},
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"controlNetControlMode": {
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"heading": "Control Mode",
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"paragraphs": ["Lends more weight to either the prompt or ControlNet."]
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},
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"controlNetResizeMode": {
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"heading": "Resize Mode",
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"paragraphs": ["How the ControlNet image will be fit to the image output size."]
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},
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"controlNet": {
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"heading": "ControlNet",
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"paragraphs": [
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"ControlNets provide guidance to the generation process, helping create images with controlled composition, structure, or style, depending on the model selected."
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]
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},
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"controlNetBeginEnd": {
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"heading": "Begin / End Step Percentage",
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"paragraphs": [
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"The part of the of the denoising process that will have the Control Adapter applied.",
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"Generally, Control Adapters applied at the start of the process guide composition, and Control Adapters applied at the end guide details."
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]
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},
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"controlNetControlMode": {
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"heading": "Control Mode",
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"paragraphs": ["Lend more weight to either the prompt or ControlNet."]
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},
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"controlNetProcessor": {
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"heading": "Processor",
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"paragraphs": [
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"Method of processing the input image to guide the generation process. Different processors will providedifferent effects or styles in your generated images."
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]
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},
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"controlNetResizeMode": {
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"heading": "Resize Mode",
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"paragraphs": ["Method to fit Control Adapter's input image size to the output generation size."]
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},
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"controlNetWeight": {
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"heading": "Weight",
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"paragraphs": ["How strongly the ControlNet will impact the generated image."]
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"paragraphs": [
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"Weight of the Control Adapter. Higher weight will lead to larger impacts on the final image."
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]
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},
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"dynamicPrompts": {
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"heading": "Dynamic Prompts",
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@ -1526,13 +1531,23 @@
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"Per Image will use a unique seed for each image. This provides more variation."
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]
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},
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"imageFit": {
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"heading": "Fit Initial Image to Output Size",
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"paragraphs": [
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"Resizes the initial image to the width and height of the output image. Recommended to enable."
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]
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},
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"infillMethod": {
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"heading": "Infill Method",
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"paragraphs": ["Method to infill the selected area."]
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"paragraphs": ["Method of infilling during the Outpainting or Inpainting process."]
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},
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"lora": {
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"heading": "LoRA Weight",
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"paragraphs": ["Higher LoRA weight will lead to larger impacts on the final image."]
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"heading": "LoRA",
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"paragraphs": ["Lightweight models that are used in conjunction with base models."]
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},
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"loraWeight": {
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"heading": "Weight",
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"paragraphs": ["Weight of the LoRA. Higher weight will lead to larger impacts on the final image."]
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},
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"noiseUseCPU": {
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"heading": "Use CPU Noise",
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@ -1542,14 +1557,25 @@
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"There is no performance impact to enabling CPU Noise."
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]
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},
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"paramAspect": {
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"heading": "Aspect",
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"paragraphs": [
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"Aspect ratio of the generated image. Changing the ratio will update the Width and Height accordingly.",
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"“Optimize” will set the Width and Height to optimal dimensions for the chosen model."
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]
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},
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"paramCFGScale": {
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"heading": "CFG Scale",
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"paragraphs": ["Controls how much your prompt influences the generation process."]
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"paragraphs": [
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"Controls how much the prompt influences the generation process.",
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"High CFG Scale values can result in over-saturation and distorted generation results. "
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]
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},
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"paramCFGRescaleMultiplier": {
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"heading": "CFG Rescale Multiplier",
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"paragraphs": [
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"Rescale multiplier for CFG guidance, used for models trained using zero-terminal SNR (ztsnr). Suggested value 0.7."
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"Rescale multiplier for CFG guidance, used for models trained using zero-terminal SNR (ztsnr).",
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"Suggested value of 0.7 for these models."
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]
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},
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"paramDenoisingStrength": {
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@ -1559,6 +1585,16 @@
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"0 will result in an identical image, while 1 will result in a completely new image."
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]
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},
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"paramHeight": {
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"heading": "Height",
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"paragraphs": ["Height of the generated image. Must be a multiple of 8."]
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},
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"paramHrf": {
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"heading": "Enable High Resolution Fix",
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"paragraphs": [
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"Generate high quality images at a larger resolution than optimal for the model. Generally used to prevent duplication in the generated image."
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]
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},
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"paramIterations": {
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"heading": "Iterations",
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"paragraphs": [
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@ -1569,8 +1605,7 @@
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"paramModel": {
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"heading": "Model",
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"paragraphs": [
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"Model used for the denoising steps.",
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"Different models are typically trained to specialize in producing particular aesthetic results and content."
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"Model used for generation. Different models are trained to specialize in producing different aesthetic results and content."
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]
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},
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"paramRatio": {
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@ -1584,7 +1619,7 @@
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"heading": "Seed",
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"paragraphs": [
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"Controls the starting noise used for generation.",
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"Disable “Random Seed” to produce identical results with the same generation settings."
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"Disable the “Random” option to produce identical results with the same generation settings."
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]
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},
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"paramSteps": {
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@ -1594,6 +1629,10 @@
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"Higher step counts will typically create better images but will require more generation time."
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]
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},
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"paramUpscaleMethod": {
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"heading": "Upscale Method",
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"paragraphs": ["Method used to upscale the image for High Resolution Fix."]
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},
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"paramVAE": {
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"heading": "VAE",
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"paragraphs": ["Model used for translating AI output into the final image."]
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@ -1601,14 +1640,82 @@
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"paramVAEPrecision": {
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"heading": "VAE Precision",
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"paragraphs": [
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"The precision used during VAE encoding and decoding. FP16/half precision is more efficient, at the expense of minor image variations."
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"The precision used during VAE encoding and decoding.",
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"Fp16/Half precision is more efficient, at the expense of minor image variations."
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]
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},
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"paramWidth": {
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"heading": "Width",
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"paragraphs": ["Width of the generated image. Must be a multiple of 8."]
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},
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"patchmatchDownScaleSize": {
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"heading": "Downscale",
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"paragraphs": [
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"How much downscaling occurs before infilling.",
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"Higher downscaling will improve performance and reduce quality."
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]
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},
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"refinerModel": {
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"heading": "Refiner Model",
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"paragraphs": [
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"Model used during the refiner portion of the generation process.",
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"Similar to the Generation Model."
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]
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},
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"refinerPositiveAestheticScore": {
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"heading": "Positive Aesthetic Score",
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"paragraphs": [
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"Weight generations to be more similar to images with a high aesthetic score, based on the training data."
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]
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},
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"refinerNegativeAestheticScore": {
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"heading": "Negative Aesthetic Score",
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"paragraphs": [
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"Weight generations to be more similar to images with a low aesthetic score, based on the training data."
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]
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},
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"refinerScheduler": {
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"heading": "Scheduler",
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"paragraphs": [
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"Scheduler used during the refiner portion of the generation process.",
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"Similar to the Generation Scheduler."
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]
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},
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"refinerStart": {
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"heading": "Refiner Start",
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"paragraphs": [
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"Where in the generation process the refiner will start to be used.",
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"0 means the refiner will be used for the entire generation process, 0.8 means the refiner will be used for the last 20% of the generation process."
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]
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},
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"refinerSteps": {
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"heading": "Steps",
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"paragraphs": [
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"Number of steps that will be performed during the refiner portion of the generation process.",
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"Similar to the Generation Steps."
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]
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},
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"refinerCfgScale": {
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"heading": "CFG Scale",
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"paragraphs": [
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"Controls how much the prompt influences the generation process.",
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"Similar to the Generation CFG Scale."
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]
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},
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"scaleBeforeProcessing": {
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"heading": "Scale Before Processing",
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"paragraphs": [
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"Scales the selected area to the size best suited for the model before the image generation process."
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"“Auto” scales the selected area to the size best suited for the model before the image generation process.",
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"“Manual” allows you to choose the width and height the selected area will be scaled to before the image generation process."
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]
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},
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"seamlessTilingXAxis": {
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"heading": "Seamless Tiling X Axis",
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"paragraphs": ["Seamlessly tile an image along the horizontal axis."]
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},
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"seamlessTilingYAxis": {
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"heading": "Seamless Tiling Y Axis",
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"paragraphs": ["Seamlessly tile an image along the vertical axis."]
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}
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},
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"ui": {
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