--- license: other base_model: "black-forest-labs/FLUX.1-dev" tags: - flux - flux-diffusers - text-to-image - diffusers - simpletuner - not-for-all-audiences - 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 image, PhongKamy is portrayed in a thoughtful pose. He is seated on a simple, modern white platform against a soft, light gray background that enhances the serene atmosphere. PhongKamy has neat, slightly wavy hair styled closely on the sides and with more volume on top. He is wearing a crisp, white dress shirt, which is neatly buttoned up and has long sleeves that are slightly rolled back at the wrists, giving a relaxed yet polished look. His expression is contemplative, with a slight smile playing at the corners of his mouth. PhongKamy holds a pair of glasses in his right hand, delicately resting them near his chin, adding an air of sophistication. His left arm is positioned casually on his knee, showing a relaxed demeanor. He wears tailored black trousers that contrast well with his white shirt. Overall, the composition focuses on PhongKamy''s thoughtful expression and stylish appearance, creating a captivating and elegant portrait.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_1_0.png - text: 'In the image, PhongKamy stands confidently against a light gray background. He is wearing a crisp white shirt that is neatly buttoned up, exuding a professional appearance. His glasses add a touch of sophistication, framing his face. PhongKamy holds a vibrant red passport in one hand, which features a prominent compass design on the cover, suggesting a theme of travel or adventure. His other hand is casually placed in his pocket, and he has a relaxed yet poised expression, gazing slightly upward, as if contemplating future journeys. Below his shirt, he wears dark trousers, complemented by a brown belt with a shiny buckle, adding a stylish contrast to his outfit. The overall composition captures a sense of ambition and readiness for exploration.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_2_0.png - text: 'In the image, PhongKamy is posed in a relaxed manner, conveying a sense of calm and confidence. He is wearing a crisp white shirt that contrasts nicely against his darker pants. The shirt has a classic collar and is unbuttoned at the top, giving it a casual yet polished look. PhongKamy''s dark hair is neatly styled, with a slight wave, enhancing his youthful appearance. He is seated with one leg crossed over the other, and he holds a pair of clear, stylish glasses in one hand, suggesting a thoughtful demeanor. His smile is warm and inviting, reflecting a friendly personality. The background is a soft gray, which allows PhongKamy to stand out as the focal point of the image. The lighting is soft and diffused, creating a flattering effect on his features and adding to the overall serene atmosphere of the portrait.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_3_0.png --- # simpletuner-lora This is a LyCORIS adapter derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev). The main validation prompt used during training was: ``` In the image, PhongKamy is posed in a relaxed manner, conveying a sense of calm and confidence. He is wearing a crisp white shirt that contrasts nicely against his darker pants. The shirt has a classic collar and is unbuttoned at the top, giving it a casual yet polished look. PhongKamy's dark hair is neatly styled, with a slight wave, enhancing his youthful appearance. He is seated with one leg crossed over the other, and he holds a pair of clear, stylish glasses in one hand, suggesting a thoughtful demeanor. His smile is warm and inviting, reflecting a friendly personality. The background is a soft gray, which allows PhongKamy to stand out as the focal point of the image. The lighting is soft and diffused, creating a flattering effect on his features and adding to the overall serene atmosphere of the portrait. ``` ## 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: The text encoder **was not** trained. You may reuse the base model text encoder for inference. ## Training settings - Training epochs: 0 - Training steps: 10000 - Learning rate: 0.0001 - Learning rate schedule: polynomial - Warmup steps: 100 - Max grad norm: 1.0 - Effective batch size: 1 - Micro-batch size: 1 - Gradient accumulation steps: 1 - 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']) - Optimizer: adamw_bf16 - Trainable parameter precision: Pure BF16 - Caption dropout probability: 10.0% ### 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 ### behitek-subject - Repeats: 1000 - Total number of images: 22 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: center - Crop aspect: square - Used for regularisation data: No ### behitek-subject-512 - Repeats: 1000 - Total number of images: 22 - Total number of aspect buckets: 1 - Resolution: 0.262144 megapixels - Cropped: True - Crop style: center - Crop aspect: square - Used for regularisation data: No ## Inference ```python import torch from diffusers import DiffusionPipeline from lycoris import create_lycoris_from_weights def download_adapter(repo_id: str): import os from huggingface_hub import hf_hub_download adapter_filename = "pytorch_lora_weights.safetensors" cache_dir = os.environ.get('HF_PATH', os.path.expanduser('~/.cache/huggingface/hub/models')) cleaned_adapter_path = repo_id.replace("/", "_").replace("\\", "_").replace(":", "_") path_to_adapter = os.path.join(cache_dir, cleaned_adapter_path) path_to_adapter_file = os.path.join(path_to_adapter, adapter_filename) os.makedirs(path_to_adapter, exist_ok=True) hf_hub_download( repo_id=repo_id, filename=adapter_filename, local_dir=path_to_adapter ) return path_to_adapter_file model_id = 'black-forest-labs/FLUX.1-dev' adapter_repo_id = 'phongmt184172/simpletuner-lora' adapter_filename = 'pytorch_lora_weights.safetensors' adapter_file_path = download_adapter(repo_id=adapter_repo_id) pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16) # loading directly in bf16 lora_scale = 1.0 wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_file_path, pipeline.transformer) wrapper.merge_to() prompt = "In the image, PhongKamy is posed in a relaxed manner, conveying a sense of calm and confidence. He is wearing a crisp white shirt that contrasts nicely against his darker pants. The shirt has a classic collar and is unbuttoned at the top, giving it a casual yet polished look. PhongKamy's dark hair is neatly styled, with a slight wave, enhancing his youthful appearance. He is seated with one leg crossed over the other, and he holds a pair of clear, stylish glasses in one hand, suggesting a thoughtful demeanor. His smile is warm and inviting, reflecting a friendly personality. The background is a soft gray, which allows PhongKamy to stand out as the focal point of the image. The lighting is soft and diffused, creating a flattering effect on his features and adding to the overall serene atmosphere of the portrait." ## 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") ```