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  1. Clayitization.safetensors +3 -0
  2. Clayitization.yaml +68 -0
  3. DJR.safetensors +3 -0
  4. PRMJ.safetensors +3 -0
  5. PRMJ.yaml +68 -0
  6. TwinkEngine.safetensors +3 -0
  7. cheeseDaddys.safetensors +3 -0
  8. colorful.safetensors +3 -0
  9. ddosmix.safetensors +3 -0
  10. duskfallAlters.safetensors +3 -0
  11. elden_ring_style.safetensors +3 -0
  12. epi_hyperphotogodess.safetensors +3 -0
  13. fantasyWorld.safetensors +3 -0
  14. gravyMix.safetensors +3 -0
  15. gravyMix.yaml +70 -0
  16. hardblend.safetensors +3 -0
  17. hoacb.safetensors +3 -0
  18. liberty-inpainting.safetensors +3 -0
  19. liberty.safetensors +3 -0
  20. liberty_instruct-pix2pix.safetensors +3 -0
  21. microclayMerge.safetensors +3 -0
  22. model2.safetensors +3 -0
  23. nartfixer.pt +3 -0
  24. nfixer.pt +3 -0
  25. nrealfixer.pt +3 -0
  26. realscifi.safetensors +3 -0
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+ model:
2
+ base_learning_rate: 1.0e-4
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+ target: ldm.models.diffusion.ddpm.LatentDiffusion
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+ params:
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+ parameterization: "v"
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+ linear_start: 0.00085
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ log_every_t: 200
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+ timesteps: 1000
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+ first_stage_key: "jpg"
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+ cond_stage_key: "txt"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False # we set this to false because this is an inference only config
20
+
21
+ unet_config:
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+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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+ params:
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+ use_checkpoint: True
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+ use_fp16: True
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+ image_size: 32 # unused
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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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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_head_channels: 64 # need to fix for flash-attn
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+ use_spatial_transformer: True
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+ use_linear_in_transformer: True
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+ transformer_depth: 1
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+ context_dim: 1024
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+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ #attn_type: "vanilla-xformers"
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+ double_z: true
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+ z_channels: 4
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+ resolution: 256
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+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
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+ params:
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+ freeze: True
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+ layer: "penultimate"
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+ model:
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+ base_learning_rate: 1.0e-4
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+ target: ldm.models.diffusion.ddpm.LatentDiffusion
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+ params:
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+ parameterization: "v"
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+ linear_start: 0.00085
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ log_every_t: 200
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+ timesteps: 1000
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+ first_stage_key: "jpg"
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+ cond_stage_key: "txt"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
18
+ scale_factor: 0.18215
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+ use_ema: False # we set this to false because this is an inference only config
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+
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+ unet_config:
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+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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+ params:
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+ use_checkpoint: True
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+ use_fp16: True
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+ image_size: 32 # unused
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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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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_head_channels: 64 # need to fix for flash-attn
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+ use_spatial_transformer: True
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+ use_linear_in_transformer: True
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+ transformer_depth: 1
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+ context_dim: 1024
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+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ #attn_type: "vanilla-xformers"
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+ double_z: true
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+ z_channels: 4
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+ resolution: 256
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+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ ch_mult:
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+ - 1
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+ - 2
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+ - 4
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+ - 4
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
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+ params:
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+ freeze: True
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+ layer: "penultimate"
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+ model:
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+ base_learning_rate: 1.0e-04
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+ target: ldm.models.diffusion.ddpm.LatentDiffusion
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+ params:
5
+ linear_start: 0.00085
6
+ linear_end: 0.0120
7
+ num_timesteps_cond: 1
8
+ log_every_t: 200
9
+ timesteps: 1000
10
+ first_stage_key: "jpg"
11
+ cond_stage_key: "txt"
12
+ image_size: 128
13
+ channels: 8
14
+ cond_stage_trainable: false # Note: different from the one we trained before
15
+ conditioning_key: crossattn
16
+ monitor: val/loss_simple_ema
17
+ scale_factor: 0.18215
18
+ use_ema: False
19
+
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+ scheduler_config: # 10000 warmup steps
21
+ target: ldm.lr_scheduler.LambdaLinearScheduler
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+ params:
23
+ warm_up_steps: [ 10000 ]
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+ cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
25
+ f_start: [ 1.e-6 ]
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+ f_max: [ 1. ]
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+ f_min: [ 1. ]
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+
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+ unet_config:
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+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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+ params:
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+ image_size: 32 # unused
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+ in_channels: 4
34
+ out_channels: 4
35
+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
38
+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
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+ context_dim: 768
43
+ use_checkpoint: True
44
+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
50
+ monitor: val/rec_loss
51
+ ddconfig:
52
+ double_z: true
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+ z_channels: 4
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+ resolution: 1024
55
+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ ch_mult:
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+ - 2
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+ - 4
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+ - 4
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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