--- license: other base_model: black-forest-labs/FLUX.1-dev tags: - flux - flux-diffusers - text-to-image - diffusers - simpletuner - lora - template:sd-lora - lycoris 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-Fast-LoKr This is a LyCORIS adapter 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: `None` - Seed: `42` - Resolution: `1024x1024` 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: The text encoder **was not** trained. You may reuse the base model text encoder for inference. ## Training settings - Training epochs: 6 - Training steps: 3600 - Learning rate: 0.001 - Max grad norm: 0.1 - Effective batch size: 6 - Micro-batch size: 3 - Gradient accumulation steps: 2 - Number of GPUs: 1 - Prediction type: flow-matching (flux parameters=['shift=3', 'flux_guidance_value=1.0']) - Rescaled betas zero SNR: False - Optimizer: adamw_bf16 - Precision: Pure BF16 - Quantised: Yes: int8-quanto - Xformers: Not used - LyCORIS Config: ```json { "algo": "lokr", "multiplier": 1.0, "linear_dim": 10000, "linear_alpha": 1, "factor": 16, "apply_preset": { "target_module": [ "Attention", "FeedForward" ], "module_algo_map": { "Attention": { "factor": 16 }, "FeedForward": { "factor": 8 } } } } ``` ## Datasets ### benbrand-512 - Repeats: 11 - 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 ### benbrand-768 - Repeats: 11 - Total number of images: 98 - Total number of aspect buckets: 7 - Resolution: 0.589824 megapixels - Cropped: False - Crop style: None - Crop aspect: None - Used for regularisation data: No ### benbrand-1024 - Repeats: 5 - 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 ### benbrand-1536 - Repeats: 2 - Total number of images: 98 - Total number of aspect buckets: 2 - Resolution: 2.359296 megapixels - Cropped: False - Crop style: None - Crop aspect: None - Used for regularisation data: No ## Inference ```python import torch from diffusers import DiffusionPipeline from lycoris import create_lycoris_from_weights model_id = 'black-forest-labs/FLUX.1-dev' adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually lora_scale = 1.0 wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer) wrapper.merge_to() prompt = "An astronaut is riding a horse through the jungles of Thailand." pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') 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(1641421826), width=1024, height=1024, guidance_scale=3.0, ).images[0] image.save("output.png", format="PNG") ```