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README.md

@@ -16,12 +16,12 @@ pipeline_tag: text-to-image
 #       prompt
 #     output:
 #       url: https://...
-instance_prompt: Evelyn_LinkedIn
+instance_prompt: Evelyn_realism
 ---
 
 # Flux Model Evelyn
 
-<!-- <Gallery /> -->
+<Gallery />
 
 Trained on Replicate using:
 
@@ -29,7 +29,7 @@ https://replicate.com/ostris/flux-dev-lora-trainer/train
 
 
 ## Trigger words
-You should use `Evelyn_LinkedIn` to trigger the image generation.
+You should use `Evelyn_realism` to trigger the image generation.
 
 
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

config.yaml

@@ -5,28 +5,29 @@ config:
   - type: custom_sd_trainer
     training_folder: output
     device: cuda:0
-    trigger_word: Evelyn_LinkedIn
+    trigger_word: Evelyn_realism
     network:
       type: lora
       linear: 16
       linear_alpha: 16
     save:
       dtype: float16
-      save_every: 1901
+      save_every: 1905
       max_step_saves_to_keep: 1
     datasets:
     - folder_path: input_images
       caption_ext: txt
       caption_dropout_rate: 0.05
       shuffle_tokens: false
-      cache_latents_to_disk: true
+      cache_latents_to_disk: false
+      cache_latents: true
       resolution:
       - 512
       - 768
       - 1024
     train:
       batch_size: 1
-      steps: 1900
+      steps: 1904
       gradient_accumulation_steps: 1
       train_unet: true
       train_text_encoder: false
@@ -45,7 +46,7 @@ config:
       quantize: true
     sample:
       sampler: flowmatch
-      sample_every: 1901
+      sample_every: 1905
       width: 1024
       height: 1024
       prompts: []

lora.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f0b2c150963350acec7c01baf2e7988c0a50ba4841382dd30d0461f474c12b17
-size 171969440
+oid sha256:e7a37b99ca8928059a98aa765fe3ebbf311623cd7b511fe4bca8a4a19b240b18
+size 171969432