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README.md

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+---
+license: other
+base_model: "black-forest-labs/FLUX.1-dev"
+tags:
+  - flux
+  - flux-diffusers
+  - text-to-image
+  - diffusers
+  - simpletuner
+  - safe-for-work
+  - lora
+  - template:sd-lora
+  - standard
+inference: true
+widget:
+- text: 'unconditional (blank prompt)'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_0_0.png
+- text: 'In the style of a b3nbr4nd painting, A steaming bowl of ramen with chopsticks resting on the edge, against a background of concentric orange and blue circles. The noodles are detailed in a geometric pattern and the steam creates a rhythmic design.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_1_0.png
+- text: 'In the style of a b3nbr4nd painting, A vintage record player with vinyl spinning, set on a yellow table. The background features an alternating chevron pattern in purple and green. The turntable''s mechanical parts are rendered in precise geometric shapes.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_2_0.png
+- text: 'In the style of a b3nbr4nd painting, A sleeping cat curled up in a modernist chair, with a background of interlocking hexagons in red and blue. The cat''s fur is stylized into rhythmic curves, matching the geometric environment.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_3_0.png
+- text: 'In the style of a b3nbr4nd painting, A classic motorcycle viewed from the side, against a backdrop of radiating diamond patterns in teal and gold. The chrome parts reflect abstract shapes, and the wheels create circular motifs in the composition.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_4_0.png
+- text: 'In the style of a b3nbr4nd painting, Portrait of a woman with silver hair wearing dotted blue glasses and a white lace collar, against a swirling background of green and yellow patterns. The background features geometric circles and zigzag designs.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_5_0.png
+- text: 'In the style of a b3nbr4nd painting, A storefront sign for ''Golden Palace Noodles'' in both English and Chinese characters, mounted on a tall pole against a geometric cityscape with blue and tan buildings. A small arrow points to available parking.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_6_0.png
+- text: 'In the style of a b3nbr4nd painting, Dark purple figs sliced in half on a terra cotta plate, revealing their seeded interiors. The background features a repeating pattern of blue and yellow squares, with wavy lines creating a dynamic lower section.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_7_0.png
+- text: 'In the style of a b3nbr4nd painting, Two young people wearing matching navy shirts and light gray face masks, posed against a warm yellow background. Their curly hair and gentle head tilts create a symmetrical composition.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_8_0.png
+- text: 'In the style of a b3nbr4nd painting, A hamster wearing tiny glasses and a bowtie sitting at a miniature desk with a tiny laptop, against a background of spiral patterns in teal and orange. Office supplies scaled to hamster-size are arranged neatly on the desk.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_9_0.png
+- text: 'In the style of a b3nbr4nd painting, A bearded man in a plaid shirt and denim apron carefully sanding a mid-century modern chair, surrounded by woodworking tools. The background features overlapping triangles in rust and navy blue colors, with sawdust creating delicate patterns in the air.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_10_0.png
+---
+
+# Ben-Brand-LoRA
+
+This is a standard PEFT LoRA derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
+
+
+No validation prompt was used during training.
+
+None
+
+
+
+## Validation settings
+- CFG: `3.0`
+- CFG Rescale: `0.0`
+- Steps: `20`
+- Sampler: `FlowMatchEulerDiscreteScheduler`
+- Seed: `42`
+- Resolution: `1024x1024`
+- Skip-layer guidance: 
+
+Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
+
+You can find some example images in the following gallery:
+
+
+<Gallery />
+
+The text encoder **was not** trained.
+You may reuse the base model text encoder for inference.
+
+
+## Training settings
+
+- Training epochs: 0
+- Training steps: 500
+- Learning rate: 0.0001
+  - Learning rate schedule: polynomial
+  - Warmup steps: 100
+- Max grad norm: 0.1
+- Effective batch size: 6
+  - Micro-batch size: 2
+  - Gradient accumulation steps: 3
+  - Number of GPUs: 1
+- Gradient checkpointing: True
+- Prediction type: flow-matching (extra parameters=['shift=3', 'flux_guidance_mode=constant', 'flux_guidance_value=1.0', 'flow_matching_loss=compatible', 'flux_lora_target=all'])
+- Optimizer: adamw_bf16
+- Trainable parameter precision: Pure BF16
+- Caption dropout probability: 10.0%
+
+
+- LoRA Rank: 64
+- LoRA Alpha: None
+- LoRA Dropout: 0.1
+- LoRA initialisation style: default
+    
+
+## Datasets
+
+### ben-brand-256
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 0.065536 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### ben-brand-crop-256
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 0.065536 megapixels
+- Cropped: True
+- Crop style: center
+- Crop aspect: square
+- Used for regularisation data: No
+### ben-brand-512
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 0.262144 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### ben-brand-crop-512
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 0.262144 megapixels
+- Cropped: True
+- Crop style: center
+- Crop aspect: square
+- Used for regularisation data: No
+### ben-brand-768
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 0.589824 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### ben-brand-crop-768
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 0.589824 megapixels
+- Cropped: True
+- Crop style: center
+- Crop aspect: square
+- Used for regularisation data: No
+### ben-brand-1024
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 1.048576 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### ben-brand-crop-1024
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 1.048576 megapixels
+- Cropped: True
+- Crop style: center
+- Crop aspect: square
+- Used for regularisation data: No
+### ben-brand-1440
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 2
+- Resolution: 2.0736 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### ben-brand-crop-1440
+- Repeats: 10
+- Total number of images: 98
+- Total number of aspect buckets: 1
+- Resolution: 2.0736 megapixels
+- Cropped: True
+- Crop style: center
+- Crop aspect: square
+- Used for regularisation data: No
+
+
+## Inference
+
+
+```python
+import torch
+from diffusers import DiffusionPipeline
+
+model_id = 'black-forest-labs/FLUX.1-dev'
+adapter_id = 'davidrd123/Ben-Brand-LoRA'
+pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16) # loading directly in bf16
+pipeline.load_lora_weights(adapter_id)
+
+prompt = "An astronaut is riding a horse through the jungles of Thailand."
+
+
+## Optional: quantise the model to save on vram.
+## Note: The model was quantised during training, and so it is recommended to do the same during inference time.
+from optimum.quanto import quantize, freeze, qint8
+quantize(pipeline.transformer, weights=qint8)
+freeze(pipeline.transformer)
+    
+pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') # the pipeline is already in its target precision level
+image = pipeline(
+    prompt=prompt,
+    num_inference_steps=20,
+    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(42),
+    width=1024,
+    height=1024,
+    guidance_scale=3.0,
+).images[0]
+image.save("output.png", format="PNG")
+```
+
+
+