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Upload folder using huggingface_hub

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Files changed (3) hide show
  1. README.md +3 -2
  2. config.yaml +7 -8
  3. lora.safetensors +3 -0
README.md CHANGED
@@ -8,9 +8,10 @@ tags:
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  - flux
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  - diffusers
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  - lora
 
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  base_model: "black-forest-labs/FLUX.1-dev"
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  pipeline_tag: text-to-image
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- instance_prompt: owhx
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  ---
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  # Pony_Loras
@@ -21,7 +22,7 @@ https://replicate.com/ostris/flux-dev-lora-trainer/train
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  ## Trigger words
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- You should use `owhx` to trigger the image generation.
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  ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
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  - flux
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  - diffusers
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  - lora
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+ - replicate
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  base_model: "black-forest-labs/FLUX.1-dev"
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  pipeline_tag: text-to-image
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+ instance_prompt: ohwx
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  ---
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  # Pony_Loras
 
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  ## Trigger words
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+ You should use `ohwx` to trigger the image generation.
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  ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
config.yaml CHANGED
@@ -1,18 +1,18 @@
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- job: extension
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  config:
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  name: flux_train_replicate
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  process:
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- - type: sd_trainer
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  training_folder: output
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  device: cuda:0
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- trigger_word: owhx
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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: 2001
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  max_step_saves_to_keep: 1
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  datasets:
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  - folder_path: input_images
@@ -21,12 +21,11 @@ config:
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  shuffle_tokens: false
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  cache_latents_to_disk: true
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  resolution:
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- - 512
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- - 768
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  - 1024
 
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  train:
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  batch_size: 1
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- steps: 2000
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  gradient_accumulation_steps: 1
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  train_unet: true
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  train_text_encoder: false
@@ -45,7 +44,7 @@ config:
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  quantize: true
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  sample:
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  sampler: flowmatch
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- sample_every: 2001
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  width: 1024
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  height: 1024
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  prompts: []
 
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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: ohwx
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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: 1001
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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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  shuffle_tokens: false
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  cache_latents_to_disk: true
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  resolution:
 
 
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  - 1024
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+ - 1536
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  train:
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  batch_size: 1
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+ steps: 1000
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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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  quantize: true
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  sample:
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  sampler: flowmatch
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+ sample_every: 1001
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  width: 1024
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  height: 1024
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  prompts: []
lora.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:82e941935fa7ca900f70b265b07d8d86fe7d547397a58d0101d159f138212866
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+ size 171969416