--- 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 - 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 an 4ct0rs cigarette card, green-skinned ambassador in Victorian diplomatic uniform with ceremonial tentacle sash. HIGNETT''S CIGARETTES, ''AMBASSADOR ZXYLK''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_1_0.png - text: 'In the style of an 4ct0rs cigarette card, distinguished werewolf dean in tweed jacket with silver-rimmed spectacles. HIGNETT''S CIGARETTES, ''DEAN WOLFGANG''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_2_0.png - text: 'In the style of an 4ct0rs cigarette card, copper-featured android soprano in shimmering 1920s evening gown. HIGNETT''S CIGARETTES, ''MADAME MECHANICA''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_3_0.png - text: 'In the style of an 4ct0rs cigarette card, pale-skinned magistrate in black judicial robes with crimson cravat. HIGNETT''S CIGARETTES, ''JUSTICE BLOODWORTH''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_4_0.png - text: 'In the style of an 4ct0rs cigarette card, diminutive sovereign wearing dewdrop crown and spider-silk robes. HIGNETT''S CIGARETTES, ''QUEEN THISTLEDOWN''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_5_0.png - text: 'In the style of an 4ct0rs cigarette card, decorated aquatic commander in mother-of-pearl armor with coral medals. HIGNETT''S CIGARETTES, ''GENERAL WAVEBREAKER''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_6_0.png - text: 'In the style of an 4ct0rs cigarette card, lion-headed academic in scholar''s robes and ancient headdress. HIGNETT''S CIGARETTES, ''DOCTOR RIDDLEWHISPER''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_7_0.png - text: 'In the style of an 4ct0rs cigarette card, shrewd green-skinned financier in pinstripe suit with golden monocle. HIGNETT''S CIGARETTES, ''DIRECTOR GOLDGRASP''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_8_0.png - text: 'In the style of an 4ct0rs cigarette card, romantic horseman wearing flowing poet''s shirt and laurel crown. HIGNETT''S CIGARETTES, ''LORD HOOFINGTON''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_9_0.png - text: 'In the style of an 4ct0rs cigarette card, translucent civic leader wearing mayoral chains and Victorian suit. HIGNETT''S CIGARETTES, ''MAYOR PHANTOMSWORTH''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_10_0.png - text: 'In the style of an 4ct0rs cigarette card, scaled culinary master in pristine white uniform with flame-proof medals. HIGNETT''S CIGARETTES, ''CHEF FLAMESCALE''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_11_0.png - text: 'In the style of an 4ct0rs cigarette card, temporal enforcement officer in quantum-tailored suit with chronometer badge. HIGNETT''S CIGARETTES, ''INSPECTOR CHRONOS''' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_12_0.png --- # Flux-Actors-Face-Inset_Cig-Cards-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: 0 - Training steps: 600 - Learning rate: 0.0008 - Max grad norm: 2.0 - Effective batch size: 4 - Micro-batch size: 4 - Gradient accumulation steps: 1 - Number of GPUs: 1 - Prediction type: flow-matching (flux parameters=['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 ### actors-natural-512 - Repeats: 17 - Total number of images: 68 - Total number of aspect buckets: 1 - Resolution: 0.262144 megapixels - Cropped: False - Crop style: None - Crop aspect: None - Used for regularisation data: No ### actors-natural-768 - Repeats: 17 - Total number of images: 68 - Total number of aspect buckets: 1 - Resolution: 0.589824 megapixels - Cropped: False - Crop style: None - Crop aspect: None - Used for regularisation data: No ### actors-natural-1024 - Repeats: 5 - Total number of images: 68 - Total number of aspect buckets: 1 - Resolution: 1.048576 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") ```