Upload 2 files
Browse files- config.yaml +72 -0
- lora.safetensors +3 -0
config.yaml
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job: custom_job
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config:
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name: flux_train_replicate
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process:
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- type: custom_sd_trainer
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training_folder: output
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device: cuda:0
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trigger_word: Paula
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network:
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type: lora
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linear: 64
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linear_alpha: 64
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network_kwargs:
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only_if_contains:
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- transformer.single_transformer_blocks.7.norm.linear
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- transformer.single_transformer_blocks.7.proj_mlp
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- transformer.single_transformer_blocks.7.proj_out
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- transformer.single_transformer_blocks.7.attn.to_q
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- transformer.single_transformer_blocks.7.attn.to_k
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- transformer.single_transformer_blocks.7.attn.to_v
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- transformer.single_transformer_blocks.12.norm.linear
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- transformer.single_transformer_blocks.12.proj_mlp
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- transformer.single_transformer_blocks.12.proj_out
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- transformer.single_transformer_blocks.12.attn.to_q
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- transformer.single_transformer_blocks.12.attn.to_k
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- transformer.single_transformer_blocks.12.attn.to_v
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save:
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dtype: float16
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save_every: 5001
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max_step_saves_to_keep: 1
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datasets:
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- folder_path: input_images
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caption_ext: txt
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caption_dropout_rate: 0.1
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shuffle_tokens: false
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cache_latents_to_disk: true
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cache_latents: true
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resolution:
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- 1024
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train:
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batch_size: 2
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steps: 5000
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gradient_accumulation_steps: 1
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train_unet: true
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train_text_encoder: false
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content_or_style: balanced
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gradient_checkpointing: true
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noise_scheduler: flowmatch
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optimizer: adamw8bit
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lr: 0.0001
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ema_config:
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use_ema: true
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ema_decay: 0.99
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dtype: bf16
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model:
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name_or_path: FLUX.1-dev
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is_flux: true
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quantize: false
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sample:
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sampler: flowmatch
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sample_every: 5001
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width: 1024
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height: 1024
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prompts: []
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neg: ''
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seed: 42
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walk_seed: true
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guidance_scale: 3.5
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sample_steps: 28
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meta:
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name: flux_train_replicate
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version: '1.0'
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lora.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0d2b2769671921a0312f413a9d2747cb52ad5439307de61dc9215dc26c0c31f
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size 16518776
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