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README.md

@@ -1,35 +1,46 @@
 ---
+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:
-- text-to-image
-- stable-diffusion
-- lora
+- flux
 - diffusers
-- template:sd-lora
-widget:
-- text: '-'
-  parameters:
-    negative_prompt: >-
-      photo of an old man ATATU, long curl white hair, hippi style. He's getting
-      ready to surf off the coast of New Zealand. He's on his surfboard, wearing
-      an old-fashioned men's swimsuit, cinematic lighting, summer mode
-  output:
-    url: images/out-1-2.webp
-base_model: black-forest-labs/FLUX.1-dev
+- lora
+- replicate
+base_model: "black-forest-labs/FLUX.1-dev"
+pipeline_tag: text-to-image
+# widget:
+#   - text: >-
+#       prompt
+#     output:
+#       url: https://...
 instance_prompt: ATATU
-license: apache-2.0
 ---
-# ATATU
 
-<Gallery />
+# Atatu_Flux
 
+<!-- <Gallery /> -->
 
-## Trigger words
+Trained on Replicate using:
+
+https://replicate.com/ostris/flux-dev-lora-trainer/train
 
+
+## Trigger words
 You should use `ATATU` to trigger the image generation.
 
 
-## Download model
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
 
-Weights for this model are available in Safetensors format.
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('cozgun/Atatu_Flux', weight_name='lora.safetensors')
+image = pipeline('your prompt').images[0]
+```
 
-[Download](/cozgun/ATATU/tree/main) them in the Files & versions tab.
+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

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+job: custom_job
+config:
+  name: flux_train_replicate
+  process:
+  - type: custom_sd_trainer
+    training_folder: output
+    device: cuda:0
+    trigger_word: ATATU
+    network:
+      type: lora
+      linear: 16
+      linear_alpha: 16
+    save:
+      dtype: float16
+      save_every: 1001
+      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: false
+      cache_latents: true
+      resolution:
+      - 512
+      - 768
+      - 1024
+    train:
+      batch_size: 1
+      steps: 1000
+      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
+      quantize: true
+    sample:
+      sampler: flowmatch
+      sample_every: 1001
+      width: 1024
+      height: 1024
+      prompts: []
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 3.5
+      sample_steps: 28
+meta:
+  name: flux_train_replicate
+  version: '1.0'

lora.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:17ebbae46d172126303dbc231c427a9982cd3fac04269802454378ec0501ea74
-size 185968776
+oid sha256:abaa9e2da95978b226f24ab40de8733659d273492d8000ed4abe8069d54e7570
+size 171969416