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Upload folder using huggingface_hub

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Files changed (3) hide show
  1. README.md +2 -2
  2. config.yaml +5 -5
  3. lora.safetensors +2 -2
README.md CHANGED
@@ -16,7 +16,7 @@ pipeline_tag: text-to-image
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  # prompt
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  # output:
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  # url: https://...
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- instance_prompt: smooothhanddevice
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  ---
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  # Martin Flux 6
@@ -29,7 +29,7 @@ https://replicate.com/ostris/flux-dev-lora-trainer/train
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  ## Trigger words
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- You should use `smooothhanddevice` to trigger the image generation.
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  ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
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  # prompt
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  # output:
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  # url: https://...
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+ instance_prompt: KCNEWBLACK
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  ---
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  # Martin Flux 6
 
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  ## Trigger words
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+ You should use `KCNEWBLACK` to trigger the image generation.
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  ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
config.yaml CHANGED
@@ -5,14 +5,14 @@ config:
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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: smooothhanddevice
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  network:
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  type: lora
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  linear: 16
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  linear_alpha: 16
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  save:
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  dtype: float16
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- save_every: 1201
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  max_step_saves_to_keep: 1
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  datasets:
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  - folder_path: input_images
@@ -27,7 +27,7 @@ config:
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  - 1024
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  train:
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  batch_size: 1
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- steps: 1200
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  gradient_accumulation_steps: 1
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  train_unet: true
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  train_text_encoder: false
@@ -35,7 +35,7 @@ config:
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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
@@ -46,7 +46,7 @@ config:
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  quantize: true
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  sample:
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  sampler: flowmatch
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- sample_every: 1201
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  width: 1024
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  height: 1024
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  prompts: []
 
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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: KCNEWBLACK
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  network:
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  type: lora
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  linear: 16
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  linear_alpha: 16
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  save:
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  dtype: float16
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+ save_every: 2501
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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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  - 1024
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  train:
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  batch_size: 1
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+ steps: 2500
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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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  gradient_checkpointing: true
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  noise_scheduler: flowmatch
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  optimizer: adamw8bit
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+ lr: 0.0004
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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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  quantize: true
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  sample:
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  sampler: flowmatch
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+ sample_every: 2501
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  width: 1024
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  height: 1024
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  prompts: []
lora.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:5ab3bf2fd467567a5156bb3c41eab5e44813d1bca13ed304746e9b97877f396e
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- size 171969440
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:8241c96be92d6c0c8eceb772052b04d13d7655957e3d69b9fddcd680e4cc71cf
3
+ size 171969424