Upload 14 files
Browse files- captions/perenakan-2-1.txt +1 -0
- captions/perenakan-2-10.txt +1 -0
- captions/perenakan-2-11.txt +1 -0
- captions/perenakan-2-12.txt +1 -0
- captions/perenakan-2-13.txt +1 -0
- captions/perenakan-2-2.txt +1 -0
- captions/perenakan-2-3.txt +1 -0
- captions/perenakan-2-4.txt +1 -0
- captions/perenakan-2-5.txt +1 -0
- captions/perenakan-2-6.txt +1 -0
- captions/perenakan-2-8.txt +1 -0
- captions/perenakan-2-9.txt +1 -0
- config.yaml +60 -0
- lora.safetensors +3 -0
captions/perenakan-2-1.txt
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A photo of a city street at night with a blurry effect, capturing the motion of the cars and buildings. The street is lined with tall buildings, and there are several cars parked along the side of the road. The buildings are colorful, with a mix of red, green, and yellow. The scene is bustling with activity, and the blurred effect adds a sense of energy and movement to the image.
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captions/perenakan-2-10.txt
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Photo of a white sports car driving down a street, with a red fire hydrant on the sidewalk. The car is parked in front of a row of colorful buildings, which are painted in red, blue, green, and yellow. There are several people walking on the sidewalk, and some chairs and dining tables are placed outside a cafe. The scene is captured in a realistic style, with a clear sky in the background and natural lighting. The composition is dynamic, with the sports car as the focal point and the colorful buildings providing a vibrant backdrop.
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captions/perenakan-2-11.txt
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A photo of a city street with a row of buildings, the buildings are painted in bright colors, the street is busy with cars, a truck and a person walking. The scene is captured in a wide angle shot, the buildings are tall and colorful, the street is filled with vehicles, the person is walking on the sidewalk.
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captions/perenakan-2-12.txt
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Photo of a busy city street with tall buildings, a car driving down the street, and several people walking on the sidewalk. The scene is captured in a wide-angle shot, with the buildings and people filling the frame. The street is bustling with activity, and the buildings are a mix of old and new architectural styles. The photo is in color, with a clear focus on the details of the street and the people.
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captions/perenakan-2-13.txt
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A photo of a street with a man riding a skateboard, a woman sitting on the sidewalk, and a man sitting on a bag. The street is lined with colorful buildings, and there are several chairs and a dining table visible in the scene. The photo is taken from a low angle, capturing the street and its inhabitants in a dynamic and lively manner.
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captions/perenakan-2-2.txt
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Photo of a city street with a row of buildings, each painted in different colors. The buildings are tall and have many windows. A car is driving down the street, passing by the buildings. The scene is captured in a wide angle shot, giving a sense of depth and perspective to the image.
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captions/perenakan-2-3.txt
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Photo of a row of houses painted in bright colors, with a blue house, a green house, a yellow house, and a pink house. The houses are lined up on a street, with a white fence in front of them. The scene is captured in a bright and vibrant style, with a clear sky in the background and a sense of community and creativity.
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captions/perenakan-2-4.txt
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A painting of a building with green shutters, a black door, and a window with a green frame. The building has a white and green color scheme. The painting is in a bright and colorful style, with a focus on the details of the building's architecture. The painting captures the essence of the building's unique design and color scheme, creating a visually appealing and vibrant image.
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captions/perenakan-2-5.txt
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Photo of a city street with a row of white buildings, a blue sky background, and a sense of urban life. The street is busy with cars, a truck, and several people walking on the sidewalk. There is a clock on one of the buildings, and a bench is located near the sidewalk. The scene is captured in a realistic style, with a focus on the architecture and daily activities of the city.
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captions/perenakan-2-6.txt
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Photo of a row of buildings with yellow, purple, and white exteriors, in the architectural style of a European city. The buildings are tall and have many windows, with some of them having balconies. The scene is captured in the daytime, with the sun shining on the buildings, creating a warm and inviting atmosphere. The buildings are lined up along the street, creating a sense of order and harmony in the urban landscape.
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captions/perenakan-2-8.txt
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A photo of a street with a red scooter parked in front of a building with a green door. The scooter is positioned in the center of the image, with a backpack on the seat. The building has a yellow door and is located next to a building with a blue door. The street is lined with several bicycles, some of which are parked closer to the foreground, while others are further in the background. The overall composition of the image is a mix of urban elements and transportation modes.
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captions/perenakan-2-9.txt
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A painting of a city street with three buildings, one yellow, one blue, and one green. The street is empty and has a crosswalk. There are two traffic lights, one near the center of the scene and the other on the left side. The buildings are multi-storied and have many windows. The scene is painted in a bright and cheerful style, with a sense of urban life and architectural diversity.
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config.yaml
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job: custom_job
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config:
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name: flux_train_replicate
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process:
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- type: custom_sd_trainer
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training_folder: output
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device: cuda:0
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trigger_word: peranakan
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network:
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type: lora
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linear: 16
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linear_alpha: 16
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save:
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dtype: float16
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save_every: 1001
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max_step_saves_to_keep: 1
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datasets:
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- folder_path: input_images
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caption_ext: txt
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caption_dropout_rate: 0.05
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shuffle_tokens: false
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cache_latents_to_disk: false
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cache_latents: true
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resolution:
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- 512
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- 768
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- 1024
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train:
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batch_size: 1
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steps: 1000
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gradient_accumulation_steps: 1
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train_unet: true
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train_text_encoder: false
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content_or_style: balanced
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gradient_checkpointing: true
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noise_scheduler: flowmatch
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optimizer: adamw8bit
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lr: 0.0004
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ema_config:
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use_ema: true
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ema_decay: 0.99
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dtype: bf16
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model:
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name_or_path: FLUX.1-dev
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is_flux: true
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quantize: true
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sample:
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sampler: flowmatch
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sample_every: 1001
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width: 1024
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height: 1024
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prompts: []
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neg: ''
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seed: 42
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walk_seed: true
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guidance_scale: 3.5
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sample_steps: 28
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meta:
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name: flux_train_replicate
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version: '1.0'
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lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:66870cc0ff4a412d92fc7f4473725b7d1dea996fae4a3f644547e91421ee94f2
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size 171969424
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