Upload folder using huggingface_hub

README.md

@@ -2,4 +2,45 @@
 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
+- replicate
+base_model: "black-forest-labs/FLUX.1-dev"
+pipeline_tag: text-to-image
+# widget:
+#   - text: >-
+#       prompt
+#     output:
+#       url: https://...
+instance_prompt: tau_face
+---
+
+# Lora_Tau_Id
+
+<!-- <Gallery /> -->
+
+Trained on Replicate using:
+
+https://replicate.com/ostris/flux-dev-lora-trainer/train
+
+
+## Trigger words
+You should use `tau_face` 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('Taugfx/Lora_Tau_id', 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

@@ -1,60 +1,59 @@
+job: custom_job
 config:
   name: flux_train_replicate
   process:
-  - datasets:
-    - cache_latents_to_disk: true
-      caption_dropout_rate: 0.05
+  - type: custom_sd_trainer
+    training_folder: output
+    device: cuda:0
+    trigger_word: tau_face
+    network:
+      type: lora
+      linear: 24
+      linear_alpha: 24
+    save:
+      dtype: float16
+      save_every: 2256
+      max_step_saves_to_keep: 1
+    datasets:
+    - folder_path: input_images
       caption_ext: txt
-      folder_path: input_images
+      caption_dropout_rate: 0.05
+      shuffle_tokens: false
+      cache_latents_to_disk: true
       resolution:
       - 512
       - 768
       - 1024
-      shuffle_tokens: false
-    device: cuda:0
+    train:
+      batch_size: 1
+      steps: 2255
+      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
     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:
-      guidance_scale: 4
+      sampler: flowmatch
+      sample_every: 2256
+      width: 1024
       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
-      width: 1024
-    save:
-      dtype: float16
-      max_step_saves_to_keep: 1
-      save_every: 1001
-    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: 1000
-      train_text_encoder: false
-      train_unet: true
-    training_folder: output
-    trigger_word: TOK
-    type: sd_trainer
-job: extension
+      guidance_scale: 3.5
+      sample_steps: 28
 meta:
   name: flux_train_replicate
   version: '1.0'

lora.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e734f81847a3325f5c869e0232910c3a52759b0f023fd35760d45a21cbef5e4
+size 257887552