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Browse files- furception_vae_1-0.safetensors +3 -0
- yiffymix_v42-2.safetensors +3 -0
- yiffymix_v42.safetensors +3 -0
- yiffymix_v42.yaml +71 -0
furception_vae_1-0.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:24e650297c4cb02ef81a02cf502aeb74a9b651eae4ce90bbbd315f0c101f45b0
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size 334641164
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yiffymix_v42-2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6454c3e929908b7c17db1edeb82788b595a78f559324f267a6cfdf56aa3feff
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size 4267457312
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yiffymix_v42.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:01b4f28d22451c7d2beea2563b8fad88d3f77f9679e0b7133e7b09bae468bfa8
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size 2133806552
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yiffymix_v42.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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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 # 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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