RectalWorm
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Browse files- Gufeng_v20.safetensors +3 -0
- anatomyLight_v10.safetensors +3 -0
- animatrix_v13.safetensors +3 -0
- anyminipasky_half.safetensors +3 -0
- dDBattlemaps_1024V10.safetensors +3 -0
- fleetingRadianceMix_v20remix.safetensors +3 -0
- humanoidRobot_v10.safetensors +3 -0
- jzzyeonaiV5_jzzyeonai.yaml +70 -0
- monsterStormv666999_v10.safetensors +3 -0
- radixX_radixX.safetensors +3 -0
Gufeng_v20.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2132625614
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anatomyLight_v10.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2378802768
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animatrix_v13.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:77ddc8639c9549ab805115904ef513902401309524b089ba55fae0e349779b88
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size 2132625462
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anyminipasky_half.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:36f873387492bd10f88c82c6d54e4e389fb64fe358cce4ba8482d5da3cb3d9e7
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size 2132625614
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dDBattlemaps_1024V10.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:68e8cfb72fc3b93bd65b9df829c9842cde9e2da0a6a6821e35309cf57b08ca22
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size 2607359926
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fleetingRadianceMix_v20remix.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:59c57cdc5959b50cc2314b29c92acc30630ab3730309fb056c6a67e413ac13fc
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size 2132625614
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humanoidRobot_v10.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4c779d02e15b07e09b753b5e1d0c11d8b4ba4e5eb5099deceb181e1b2795ff5
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size 2132625438
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jzzyeonaiV5_jzzyeonai.yaml
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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:
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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: "image"
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cond_stage_key: "caption"
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image_size: 64
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channels: 4
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cond_stage_trainable: false # Note: different from the one we trained before
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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
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scheduler_config: # 10000 warmup steps
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target: ldm.lr_scheduler.LambdaLinearScheduler
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params:
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warm_up_steps: [ 10000 ]
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cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
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f_start: [ 1.e-6 ]
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f_max: [ 1. ]
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f_min: [ 1. ]
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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
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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_heads: 8
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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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use_checkpoint: True
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legacy: False
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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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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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cond_stage_config:
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target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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monsterStormv666999_v10.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:0fd917ed4fb5acba0d4a7bc7f128794c141a1a1a835bcdf75736aaffa7476c1e
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size 2132625614
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radixX_radixX.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:2fb3661afc16452f8f524ff99035c579e633e2e4f4c286411dbe131745691275
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size 2132625644
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