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-aVa8YRPK6fPh3VxZPigE_config.json

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+{"images_data_url": "https://v3.fal.media/files/tiger/NtRsKOWxQtwx7MmoSh5vO_1737739784160.zip", "trigger_word": "ATHARV", "disable_captions": false, "disable_segmentation_and_captioning": false, "learning_rate": 0.0005, "b_up_factor": 3.0, "create_masks": true, "iter_multiplier": 1.0, "steps": 1500, "is_style": false, "is_input_format_already_preprocessed": false, "data_archive_format": null, "resume_with_lora": null, "rank": 16, "debug_preprocessed_images": false, "instance_prompt": "ATHARV"}

README.md

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+---
+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: ATHARV
+---
+
+# ATHARV Abtest
+
+<Gallery />
+
+Trained on Replicate using:
+
+https://replicate.com/ostris/flux-dev-lora-trainer/train
+
+## Trigger words
+
+You should use `ATHARV` 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('xotopo/atharv1500', weight_name='aqV2XR2nv3X_pwJzvMKLo_pytorch_lora_weights.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)

aqV2XR2nv3X_pwJzvMKLo_pytorch_lora_weights.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a49a5f45978260d0349b43e138d49760b4a68fa06c50d571c793e43ebcce4b88
+size 89745224

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: ATHARV
+    network:
+      type: lora
+      linear: 16
+      linear_alpha: 16
+    save:
+      dtype: float16
+      save_every: 1801
+      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: 1800
+      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: 1801
+      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'