--- 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: 'a garfield waifu wearing an apron with a red sphere over her head that reads It is Time' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_1_0.png - text: 'a void of fursuit furries hanging onto the edge of reality as they get sucked into a vortex' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_2_0.png - text: 'furries congregate at walmart to teach about gelatin fountains to adult furries' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_3_0.png - text: 'the furry church congregation looking up at a cinematic movie screen with text on it that reads MOOSE = PONY' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_4_0.png - text: 'furry church congregation singing hymns while they look to a screen with lyrics on it that reads THE NEW FRONTIER OF PONY MODELS?' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_5_0.png - text: 'a furry giving a TED talk with a screen in the background showing bullet points: - what furry means, and, - what furry does not mean' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_6_0.png - text: 'a sugar bear named brownie plays basketball with lumps of poop' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_7_0.png - text: 'A photo-realistic image of a cat' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_8_0.png --- # flux-sfwbooru-3.5M-lokr 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: ``` A photo-realistic image of a cat ``` ## 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: 1100 - Learning rate: 0.0001 - Effective batch size: 6 - Micro-batch size: 2 - Gradient accumulation steps: 1 - Number of GPUs: 3 - Prediction type: flow-matching - Rescaled betas zero SNR: False - Optimizer: optimi-stableadamwweight_decay=1e-3 - 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": 8, "apply_preset": { "target_module": [ "Attention", "FeedForward" ], "module_algo_map": { "Attention": { "factor": 6 }, "FeedForward": { "factor": 4 } } } } ``` ## Datasets ### sfwbooru - Repeats: 0 - Total number of images: ~639264 - Total number of aspect buckets: 80 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### normalnudes - Repeats: 50 - Total number of images: ~1233 - Total number of aspect buckets: 31 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### guys - Repeats: 0 - Total number of images: ~390 - Total number of aspect buckets: 16 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### signs - Repeats: 0 - Total number of images: ~435 - Total number of aspect buckets: 19 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### nsfw-1024 - Repeats: 0 - Total number of images: ~10830 - Total number of aspect buckets: 14 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### anatomy - Repeats: 2 - Total number of images: ~16440 - Total number of aspect buckets: 24 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### yoga - Repeats: 0 - Total number of images: ~3642 - Total number of aspect buckets: 20 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### photo-aesthetics - Repeats: 0 - Total number of images: ~33171 - Total number of aspect buckets: 30 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### text-1mp - Repeats: 125 - Total number of images: ~13221 - Total number of aspect buckets: 4 - Resolution: 1.048576 megapixels - Cropped: False - Crop style: None - Crop aspect: None ### normalnudes-crop - Repeats: 50 - Total number of images: ~1146 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ### guys-crop - Repeats: 0 - Total number of images: ~381 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ### signs-crop - Repeats: 0 - Total number of images: ~417 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ### nsfw-1024-crop - Repeats: 0 - Total number of images: ~10818 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ### anatomy-crop - Repeats: 2 - Total number of images: ~16425 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ### yoga-crop - Repeats: 0 - Total number of images: ~3618 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ### photo-aesthetics-crop - Repeats: 0 - Total number of images: ~33141 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ### text-1mp-crop - Repeats: 125 - Total number of images: ~13194 - Total number of aspect buckets: 1 - Resolution: 1.048576 megapixels - Cropped: True - Crop style: random - Crop aspect: square ## 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 = "A photo-realistic image of a cat" 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") ```