Upload 2 files
Browse files- limitedpalette.txt +186 -0
- limitedpalette.yaml +34 -0
limitedpalette.txt
ADDED
@@ -0,0 +1,186 @@
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- target: "color" # what word for erasing the positive concept from
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positive: "multicolored , polychromatic" # word to take the difference from the positive concept
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unconditional: "limited palette color" # word to take the difference from the positive concept
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neutral: "color" # starting point for conditioning the target
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action: "erase" # erase or enhance
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guidance_scale: 12
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resolution: 512
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dynamic_resolution: false
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batch_size: 1
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# - target: "" # what word for erasing the positive concept from
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# positive: "a group of people" # concept to erase
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# unconditional: "a person" # word to take the difference from the positive concept
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# neutral: "" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "" # what word for erasing the positive concept from
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# positive: "high detail, 8k, intricate, detailed, high resolution, high res, high quality" # concept to erase
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# unconditional: "blurry, boring, fuzzy, low detail, low resolution, low res, low quality" # word to take the difference from the positive concept
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# neutral: "" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "" # what word for erasing the positive concept from
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# positive: "blurred background, narrow DOF, bokeh effect" # concept to erase
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# # unconditional: "high detail background, 8k, intricate, detailed, high resolution background, high res, high quality background" # word to take the difference from the positive concept
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# unconditional: ""
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# neutral: "" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "food" # what word for erasing the positive concept from
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# positive: "food, expensive and fine dining" # concept to erase
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# unconditional: "food, cheap and low quality" # word to take the difference from the positive concept
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# neutral: "food" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "room" # what word for erasing the positive concept from
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# positive: "room, dirty disorganised and cluttered" # concept to erase
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# unconditional: "room, neat organised and clean" # word to take the difference from the positive concept
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# neutral: "room" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "male person" # what word for erasing the positive concept from
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# positive: "male person, with a surprised look" # concept to erase
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# unconditional: "male person, with a disinterested look" # word to take the difference from the positive concept
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# neutral: "male person" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "female person" # what word for erasing the positive concept from
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# positive: "female person, with a surprised look" # concept to erase
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# unconditional: "female person, with a disinterested look" # word to take the difference from the positive concept
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# neutral: "female person" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "sky" # what word for erasing the positive concept from
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# positive: "peaceful sky" # concept to erase
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# unconditional: "sky" # word to take the difference from the positive concept
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# neutral: "sky" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "sky" # what word for erasing the positive concept from
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# positive: "chaotic dark sky" # concept to erase
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# unconditional: "sky" # word to take the difference from the positive concept
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# neutral: "sky" # starting point for conditioning the target
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# action: "erase" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "person" # what word for erasing the positive concept from
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# positive: "person, dull and desaturated, monochrome, rough and sloppy, lack of depth, flat and two-dimensional, stiff and lifeless, thick outlines" # concept to erase
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# unconditional: "person" # word to take the difference from the positive concept
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# neutral: "person" # starting point for conditioning the target
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# action: "erase" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# overweight
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# - target: "art" # what word for erasing the positive concept from
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# positive: "realistic art" # concept to erase
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# unconditional: "art" # word to take the difference from the positive concept
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# neutral: "art" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "art" # what word for erasing the positive concept from
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# positive: "abstract art" # concept to erase
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# unconditional: "art" # word to take the difference from the positive concept
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# neutral: "art" # starting point for conditioning the target
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# action: "erase" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# sky
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# - target: "weather" # what word for erasing the positive concept from
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# positive: "bright pleasant weather" # concept to erase
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# unconditional: "weather" # word to take the difference from the positive concept
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# neutral: "weather" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "weather" # what word for erasing the positive concept from
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# positive: "dark gloomy weather" # concept to erase
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# unconditional: "weather" # word to take the difference from the positive concept
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# neutral: "weather" # starting point for conditioning the target
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# action: "erase" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# hair
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# - target: "person" # what word for erasing the positive concept from
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# positive: "person with long hair" # concept to erase
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# unconditional: "person" # word to take the difference from the positive concept
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# neutral: "person" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "person" # what word for erasing the positive concept from
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# positive: "person with short hair" # concept to erase
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# unconditional: "person" # word to take the difference from the positive concept
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# neutral: "person" # starting point for conditioning the target
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# action: "erase" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "girl" # what word for erasing the positive concept from
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# positive: "baby girl" # concept to erase
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# unconditional: "girl" # word to take the difference from the positive concept
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# neutral: "girl" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: -4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "boy" # what word for erasing the positive concept from
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# positive: "old man" # concept to erase
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# unconditional: "boy" # word to take the difference from the positive concept
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# neutral: "boy" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: 4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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# - target: "boy" # what word for erasing the positive concept from
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# positive: "baby boy" # concept to erase
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# unconditional: "boy" # word to take the difference from the positive concept
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# neutral: "boy" # starting point for conditioning the target
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# action: "enhance" # erase or enhance
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# guidance_scale: -4
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# resolution: 512
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# dynamic_resolution: false
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# batch_size: 1
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limitedpalette.yaml
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@@ -0,0 +1,34 @@
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prompts_file: "./examples/limitedpalette.txt"
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pretrained_model:
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name_or_path: "I:/models/Stable-diffusion/V1.5/v1-5-pruned.safetensors" # you can also use .ckpt or .safetensors models
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v2: false # true if model is v2.x
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v_pred: false # true if model uses v-prediction
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network:
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type: "c3lier" # or "c3lier"
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rank: 8
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alpha: 4
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training_method: "full" # selfattn, xattn, noxattn, or innoxattn
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train:
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precision: "bfloat16"
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noise_scheduler: "ddim" # or "ddpm", "lms", "euler_a"
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iterations: 250
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lr: 4e-4
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optimizer: "AdamW"
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lr_scheduler: "constant"
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max_denoising_steps: 50
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save:
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name: "limitedpalette"
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path: "./LECO_output/limitedpalette"
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per_steps: 250
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precision: "bfloat16"
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logging:
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use_wandb: false
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verbose: false
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other:
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use_xformers: true
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