Upload model via CLI

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+samples/1753253167817__000000000_2.jpg filter=lfs diff=lfs merge=lfs -text
+samples/1753254217724__000000250_2.jpg filter=lfs diff=lfs merge=lfs -text
+samples/1753255264626__000000500_2.jpg filter=lfs diff=lfs merge=lfs -text
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+samples/1753256330494__000000750_3.jpg filter=lfs diff=lfs merge=lfs -text
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+samples/1753257384731__000001000_3.jpg filter=lfs diff=lfs merge=lfs -text
+samples/1753258423664__000001250_2.jpg filter=lfs diff=lfs merge=lfs -text

.job_config.json

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+{
+  "job": "extension",
+  "config": {
+    "name": "watch_styling_photography",
+    "process": [
+      {
+        "type": "ui_trainer",
+        "training_folder": "/workspace/ai-toolkit/output",
+        "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
+        "device": "cuda",
+        "trigger_word": "wphoto",
+        "performance_log_every": 10,
+        "network": {
+          "type": "lora",
+          "linear": 16,
+          "linear_alpha": 16,
+          "conv": 4,
+          "conv_alpha": 4,
+          "lokr_full_rank": true,
+          "lokr_factor": -1,
+          "network_kwargs": {
+            "ignore_if_contains": []
+          }
+        },
+        "save": {
+          "dtype": "bf16",
+          "save_every": 250,
+          "max_step_saves_to_keep": 6,
+          "save_format": "diffusers",
+          "push_to_hub": false
+        },
+        "datasets": [
+          {
+            "folder_path": "/workspace/ai-toolkit/datasets/wphoto",
+            "control_path": null,
+            "mask_path": null,
+            "mask_min_value": 0.1,
+            "default_caption": "",
+            "caption_ext": "txt",
+            "caption_dropout_rate": 0.1,
+            "cache_latents_to_disk": false,
+            "is_reg": false,
+            "network_weight": 1,
+            "resolution": [
+              512,
+              768,
+              1024,
+              1280,
+              1536
+            ],
+            "controls": []
+          }
+        ],
+        "train": {
+          "batch_size": 1,
+          "bypass_guidance_embedding": false,
+          "steps": 1500,
+          "gradient_accumulation": 1,
+          "train_unet": true,
+          "train_text_encoder": false,
+          "gradient_checkpointing": true,
+          "noise_scheduler": "flowmatch",
+          "optimizer": "adamw8bit",
+          "timestep_type": "shift",
+          "content_or_style": "style",
+          "optimizer_params": {
+            "weight_decay": 0.01
+          },
+          "unload_text_encoder": false,
+          "lr": 0.0001,
+          "ema_config": {
+            "use_ema": true,
+            "ema_decay": 0.99
+          },
+          "dtype": "bf16",
+          "diff_output_preservation": false,
+          "diff_output_preservation_multiplier": 1,
+          "diff_output_preservation_class": "person"
+        },
+        "model": {
+          "name_or_path": "black-forest-labs/FLUX.1-dev",
+          "quantize": false,
+          "quantize_te": true,
+          "arch": "flux",
+          "low_vram": false,
+          "model_kwargs": {}
+        },
+        "sample": {
+          "sampler": "flowmatch",
+          "sample_every": 250,
+          "width": 1024,
+          "height": 1024,
+          "prompts": [
+            "wphoto, luxury watch on marble surface, elegant background bokeh, professional product styling",
+            "wphoto, rose gold timepiece with wooden background, warm ambient lighting, sophisticated composition",
+            "wphoto, vintage watch collection arranged artistically, rich textured background, premium photography",
+            "wphoto, single watch positioned on silk fabric, soft studio lighting, luxury brand photography"
+          ],
+          "neg": "",
+          "seed": 42,
+          "walk_seed": true,
+          "guidance_scale": 3,
+          "sample_steps": 30,
+          "num_frames": 1,
+          "fps": 1
+        }
+      }
+    ]
+  },
+  "meta": {
+    "name": "[name]",
+    "version": "1.0"
+  }
+}

README.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: wphoto
+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
+widget:
+- text: wphoto, luxury watch on marble surface, elegant background bokeh, professional
+    product styling
+  output:
+    url: samples/1753259492171__000001500_3.jpg
+- text: wphoto, rose gold timepiece with wooden background, warm ambient lighting,
+    sophisticated composition
+  output:
+    url: samples/1753259474827__000001500_2.jpg
+- text: wphoto, vintage watch collection arranged artistically, rich textured background,
+    premium photography
+  output:
+    url: samples/1753259457442__000001500_1.jpg
+- text: wphoto, single watch positioned on silk fabric, soft studio lighting, luxury
+    brand photography
+  output:
+    url: samples/1753259440055__000001500_0.jpg
+---
+
+# watch_styling_photography
+
+Model trained with AI Toolkit by Ostris
+
+<Gallery />
+
+## Trigger words
+
+You should use `wphoto` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
+
+Weights for this model are available in Safetensors format.
+
+[Download](/username/watch_styling_photography/tree/main) them in the Files & versions tab.
+
+## 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.bfloat16).to('cuda')
+pipeline.load_lora_weights('username/watch_styling_photography', weight_name='watch_styling_photography.safetensors')
+image = pipeline('wphoto, luxury watch on marble surface, elegant background bokeh, professional product styling').images[0]
+image.save("my_image.png")
+```
+
+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: extension
+config:
+  name: watch_styling_photography
+  process:
+  - type: ui_trainer
+    training_folder: /workspace/ai-toolkit/output
+    sqlite_db_path: /workspace/ai-toolkit/aitk_db.db
+    device: cuda
+    trigger_word: wphoto
+    performance_log_every: 10
+    network:
+      type: lora
+      linear: 16
+      linear_alpha: 16
+      conv: 4
+      conv_alpha: 4
+      lokr_full_rank: true
+      lokr_factor: -1
+      network_kwargs:
+        ignore_if_contains: []
+    save:
+      dtype: bf16
+      save_every: 250
+      max_step_saves_to_keep: 6
+      save_format: diffusers
+      push_to_hub: false
+    datasets:
+    - folder_path: /workspace/ai-toolkit/datasets/wphoto
+      control_path: null
+      mask_path: null
+      mask_min_value: 0.1
+      default_caption: ''
+      caption_ext: txt
+      caption_dropout_rate: 0.1
+      cache_latents_to_disk: false
+      is_reg: false
+      network_weight: 1
+      resolution:
+      - 512
+      - 768
+      - 1024
+      - 1280
+      - 1536
+      controls: []
+    train:
+      batch_size: 1
+      bypass_guidance_embedding: false
+      steps: 1500
+      gradient_accumulation: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      timestep_type: shift
+      content_or_style: style
+      optimizer_params:
+        weight_decay: 0.01
+      unload_text_encoder: false
+      lr: 0.0001
+      ema_config:
+        use_ema: true
+        ema_decay: 0.99
+      dtype: bf16
+      diff_output_preservation: false
+      diff_output_preservation_multiplier: 1
+      diff_output_preservation_class: person
+    model:
+      name_or_path: black-forest-labs/FLUX.1-dev
+      quantize: false
+      quantize_te: true
+      arch: flux
+      low_vram: false
+      model_kwargs: {}
+    sample:
+      sampler: flowmatch
+      sample_every: 250
+      width: 1024
+      height: 1024
+      prompts:
+      - wphoto, luxury watch on marble surface, elegant background bokeh, professional
+        product styling
+      - wphoto, rose gold timepiece with wooden background, warm ambient lighting,
+        sophisticated composition
+      - wphoto, vintage watch collection arranged artistically, rich textured background,
+        premium photography
+      - wphoto, single watch positioned on silk fabric, soft studio lighting, luxury
+        brand photography
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 3
+      sample_steps: 30
+      num_frames: 1
+      fps: 1
+meta:
+  name: watch_styling_photography
+  version: '1.0'

optimizer.pt

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+size 175676612

watch_styling_photography.safetensors

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