Upload folder using huggingface_hub

README.md

@@ -11,7 +11,7 @@ tags:
 - replicate
 base_model: "black-forest-labs/FLUX.1-dev"
 pipeline_tag: text-to-image
-instance_prompt: LNTP
+instance_prompt: latentpop style
 ---
 
 # Flux Latentpop
@@ -22,7 +22,7 @@ https://replicate.com/ostris/flux-dev-lora-trainer/train
 
 
 ## Trigger words
-You should use `LNTP` to trigger the image generation.
+You should use `latentpop style` 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: LNTP
+    trigger_word: latentpop style
     network:
       type: lora
       linear: 42
       linear_alpha: 42
     save:
       dtype: float16
-      save_every: 3001
+      save_every: 4001
       max_step_saves_to_keep: 1
     datasets:
     - folder_path: input_images
@@ -26,7 +26,7 @@ config:
       - 1024
     train:
       batch_size: 1
-      steps: 3000
+      steps: 4000
       gradient_accumulation_steps: 1
       train_unet: true
       train_text_encoder: false
@@ -45,7 +45,7 @@ config:
       quantize: true
     sample:
       sampler: flowmatch
-      sample_every: 3001
+      sample_every: 4001
       width: 1024
       height: 1024
       prompts: []

lora.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9fdaa200f258ea354d99832b67b0df819b75493302eb105104225605b3c5de5
-size 451202736
+oid sha256:a90b15a59391a4051eeb7d2a2e69375e187dae29a60c3ac9039ab3a9ef2adf72
+size 451202760