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README.md

@@ -2,37 +2,4 @@
 license: other
 license_name: flux-1-dev-non-commercial-license
 license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
-language:
-- en
-tags:
-- flux
-- diffusers
-- lora
-base_model: "black-forest-labs/FLUX.1-dev"
-pipeline_tag: text-to-image
-instance_prompt: TOK
----
-
-# Flux Lora Me
-
-Trained on Replicate using:
-
-https://replicate.com/ostris/flux-dev-lora-trainer/train
-
-
-## Trigger words
-You should use `TOK` to trigger the image generation.
-
-
-## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
-
-```py
-from diffusers import AutoPipelineForText2Image
-import torch
-
-pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
-pipeline.load_lora_weights('Humanlearning/flux-lora-me', weight_name='lora.safetensors')
-image = pipeline('your prompt').images[0]
-```
-
-For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
+---

config.yaml

@@ -1,59 +1,60 @@
-job: custom_job
 config:
   name: flux_train_replicate
   process:
-  - type: custom_sd_trainer
-    training_folder: output
-    device: cuda:0
-    trigger_word: TOK
-    network:
-      type: lora
-      linear: 16
-      linear_alpha: 16
-    save:
-      dtype: float16
-      save_every: 1501
-      max_step_saves_to_keep: 1
-    datasets:
-    - folder_path: input_images
-      caption_ext: txt
+  - datasets:
+    - cache_latents_to_disk: true
       caption_dropout_rate: 0.05
-      shuffle_tokens: false
-      cache_latents_to_disk: true
+      caption_ext: txt
+      folder_path: input_images
       resolution:
       - 512
       - 768
       - 1024
-    train:
-      batch_size: 1
-      steps: 1500
-      gradient_accumulation_steps: 1
-      train_unet: true
-      train_text_encoder: false
-      content_or_style: balanced
-      gradient_checkpointing: true
-      noise_scheduler: flowmatch
-      optimizer: adamw8bit
-      lr: 0.0004
-      ema_config:
-        use_ema: true
-        ema_decay: 0.99
-      dtype: bf16
+      shuffle_tokens: false
+    device: cuda:0
     model:
-      name_or_path: FLUX.1-dev
       is_flux: true
+      name_or_path: black-forest-labs/FLUX.1-dev
       quantize: true
+    network:
+      linear: 16
+      linear_alpha: 16
+      type: lora
     sample:
-      sampler: flowmatch
-      sample_every: 1501
-      width: 1024
+      guidance_scale: 4
       height: 1024
-      prompts: []
       neg: ''
+      prompts:
+      - a sign that says 'I LOVE PROMPTS!' in the style of [trigger]
+      sample_every: 250
+      sample_steps: 20
+      sampler: flowmatch
       seed: 42
       walk_seed: true
-      guidance_scale: 4
-      sample_steps: 20
+      width: 1024
+    save:
+      dtype: float16
+      max_step_saves_to_keep: 1
+      save_every: 1501
+    train:
+      batch_size: 1
+      content_or_style: balanced
+      dtype: bf16
+      ema_config:
+        ema_decay: 0.99
+        use_ema: true
+      gradient_accumulation_steps: 1
+      gradient_checkpointing: true
+      lr: 0.0004
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      steps: 1500
+      train_text_encoder: false
+      train_unet: true
+    training_folder: output
+    trigger_word: TOK
+    type: sd_trainer
+job: extension
 meta:
   name: flux_train_replicate
   version: '1.0'

flux_train_replicate.safetensors

@@ -0,0 +1,3 @@
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+size 171969416

optimizer.pt

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+oid sha256:57dbc887b63ed12ef225835513009838dfdda301a8ee43eb3aedb63d7e428724
+size 173272836