127 lines
2.8 KiB
YAML
127 lines
2.8 KiB
YAML
NAME: SD1.5
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IS_DEFAULT: False
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DEFAULT_PARAS:
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PARAS:
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RESOLUTIONS: [[512, 512]]
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INPUT:
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IMAGE:
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PROMPT: ""
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NEGATIVE_PROMPT: ""
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TARGET_SIZE_AS_TUPLE: [512, 512]
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PROMPT_PREFIX: ""
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SAMPLE: ddim
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SAMPLE_STEPS: 50
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GUIDE_SCALE: 7.5
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GUIDE_RESCALE: 0.5
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DISCRETIZATION: trailing
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OUTPUT:
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LATENT:
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IMAGES:
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SEED:
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MODULES_PARAS:
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FIRST_STAGE_MODEL:
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FUNCTION:
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-
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NAME: encode
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DTYPE: float16
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INPUT: ["IMAGE"]
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-
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NAME: decode
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DTYPE: float16
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INPUT: ["LATENT"]
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PARAS:
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# SCALE_FACTOR DESCRIPTION: The vae embeding scale. TYPE: float default: 0.18215
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SCALE_FACTOR: 0.18215
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SIZE_FACTOR: 8
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DIFFUSION_MODEL:
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FUNCTION:
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-
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NAME: forward
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DTYPE: float16
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INPUT: ["SAMPLE_STEPS", "SAMPLE", "GUIDE_SCALE", "GUIDE_RESCALE", "DISCRETIZATION"]
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COND_STAGE_MODEL:
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FUNCTION:
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-
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NAME: encode_text
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DTYPE: float16
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INPUT: ["PROMPT", "NEGATIVE_PROMPT"]
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MODEL:
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PRETRAINED_MODEL: ms://AI-ModelScope/stable-diffusion-v1-5@v1-5-pruned-emaonly.safetensors
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SCHEDULE:
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PARAMETERIZATION: "eps"
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TIMESTEPS: 1000
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ZERO_TERMINAL_SNR: False
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SCHEDULE_ARGS:
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# NAME DESCRIPTION: TYPE: default: ''
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NAME: "scaled_linear"
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BETA_MIN: 0.00085
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BETA_MAX: 0.0120
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#
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DIFFUSION_MODEL:
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NAME: DiffusionUNet
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IN_CHANNELS: 4
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OUT_CHANNELS: 4
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MODEL_CHANNELS: 320
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NUM_HEADS: 8
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NUM_RES_BLOCKS: 2
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ATTENTION_RESOLUTIONS: [ 4, 2, 1 ]
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CHANNEL_MULT: [ 1, 2, 4, 4 ]
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CONV_RESAMPLE: True
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DIMS: 2
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USE_CHECKPOINT: False
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USE_SCALE_SHIFT_NORM: False
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RESBLOCK_UPDOWN: False
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USE_SPATIAL_TRANSFORMER: True
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TRANSFORMER_DEPTH: 1
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CONTEXT_DIM: 768
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DISABLE_MIDDLE_SELF_ATTN: False
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USE_LINEAR_IN_TRANSFORMER: False
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IGNORE_KEYS: []
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#
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FIRST_STAGE_MODEL:
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NAME: AutoencoderKL
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EMBED_DIM: 4
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IGNORE_KEYS: []
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BATCH_SIZE: 4
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#
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ENCODER:
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NAME: Encoder
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CH: 128
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OUT_CH: 3
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NUM_RES_BLOCKS: 2
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IN_CHANNELS: 3
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ATTN_RESOLUTIONS: [ ]
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CH_MULT: [ 1, 2, 4, 4 ]
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Z_CHANNELS: 4
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DOUBLE_Z: True
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DROPOUT: 0.0
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RESAMP_WITH_CONV: True
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#
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DECODER:
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NAME: Decoder
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CH: 128
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OUT_CH: 3
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NUM_RES_BLOCKS: 2
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IN_CHANNELS: 3
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ATTN_RESOLUTIONS: [ ]
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CH_MULT: [ 1, 2, 4, 4 ]
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Z_CHANNELS: 4
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DROPOUT: 0.0
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RESAMP_WITH_CONV: True
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GIVE_PRE_END: False
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TANH_OUT: False
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#
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TOKENIZER:
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NAME: ClipTokenizer
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PRETRAINED_PATH: ms://AI-ModelScope/clip-vit-large-patch14
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LENGTH: 77
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CLEAN: True
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#
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COND_STAGE_MODEL:
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NAME: FrozenCLIPEmbedder
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FREEZE: True
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USE_GRAD: False
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LAYER: last
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PRETRAINED_MODEL: ms://AI-ModelScope/clip-vit-large-patch14
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