Upload folder using huggingface_hub

README.md

@@ -16,7 +16,7 @@ pipeline_tag: text-to-image
 #       prompt
 #     output:
 #       url: https://...
-instance_prompt: mk
+instance_prompt: mitom
 ---
 
 # Mk
@@ -29,7 +29,7 @@ https://replicate.com/ostris/flux-dev-lora-trainer/train
 
 
 ## Trigger words
-You should use `mk` to trigger the image generation.
+You should use `mitom` to trigger the image generation.
 
 
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

config.yaml

@@ -5,14 +5,14 @@ config:
   - type: custom_sd_trainer
     training_folder: output
     device: cuda:0
-    trigger_word: mk
+    trigger_word: mitom
     network:
       type: lora
       linear: 16
       linear_alpha: 16
     save:
       dtype: float16
-      save_every: 2001
+      save_every: 1001
       max_step_saves_to_keep: 1
     datasets:
     - folder_path: input_images
@@ -27,7 +27,7 @@ config:
       - 1024
     train:
       batch_size: 1
-      steps: 2000
+      steps: 1000
       gradient_accumulation_steps: 1
       train_unet: true
       train_text_encoder: false
@@ -46,7 +46,7 @@ config:
       quantize: true
     sample:
       sampler: flowmatch
-      sample_every: 2001
+      sample_every: 1001
       width: 1024
       height: 1024
       prompts: []

lora.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2673c80ec6e5541029c57877aa77816d77f03ee413ac7d9ea5af9b604ffb790a
-size 171969408
+oid sha256:85f47e3616e38f945ebf67fde84dd3f8587374c9f2a405bf5ac58a7c22aea5d3
+size 171969416