--- 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: 'Distinguished Gentleman' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_1_0.png - text: 'A highly detailed portrait of a distinguished man in his 50s with sharp features and piercing blue eyes, wearing a tailored suit, set in a classic study, photorealistic, 8k resolution, dramatic lighting, oil painting style' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_2_0.png - text: 'Graceful Dancer' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_3_0.png - text: 'An artistic depiction of a graceful woman dancing under the moonlight in a serene forest, wearing a flowing white dress, soft lighting, dreamy atmosphere, high resolution, intricate details, impressionist style' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_4_0.png - text: 'Tommy Chong Portrait' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_5_0.png - text: 'A realistic portrait of Tommy Chong smiling warmly, wearing his signature bandana and glasses, in a relaxed setting, high detail, photorealistic, 8k resolution, natural lighting' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_6_0.png - text: 'Cheech Marin Portrait' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_7_0.png - text: 'A high-definition portrait of Cheech Marin with a mischievous grin, wearing a colorful shirt, set against a lively urban backdrop, photorealistic, ultra-detailed, vibrant colors' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_8_0.png - text: 'Cheech and Chong Duo' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_9_0.png - text: 'Cheech Marin and Tommy Chong standing together, smiling, iconic pose' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_10_0.png - text: 'Cheech and Chong Journey' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_11_0.png - text: 'An intricate scene of Cheech Marin and Tommy Chong driving a vintage van along a coastal highway at sunset, laughing and enjoying the journey, highly detailed, cinematic lighting, 8k resolution, dynamic angle' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_12_0.png - text: 'Adventurous Explorer' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_13_0.png - text: 'An epic scene of a rugged man standing atop a snow-capped mountain peak at sunrise, windswept hair, determined gaze, holding a vintage compass, surrounded by breathtaking landscapes, ultra-realistic, high dynamic range, panoramic view' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_14_0.png - text: 'Ethereal Ballerina' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_15_0.png - text: 'A captivating image of a ballerina performing on a grand stage, illuminated by soft golden lights, wearing a delicate tutu, graceful pose, photorealistic, high resolution, dreamlike atmosphere' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_16_0.png - text: 'Comedy Duo Live' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_17_0.png - text: 'Cheech and Chong performing live on stage with microphones, energetic crowd, spotlight on them, vibrant colors, high-definition' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_18_0.png - text: 'Retro Duo Poster' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_19_0.png - text: 'A retro-style movie poster featuring Cheech Marin and Tommy Chong in a comedic pose, bold colors, vintage fonts, high detail, artistic illustration, 1970s aesthetic' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_20_0.png - text: 'tommy chong sitting to the left of cheech marin' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_21_0.png --- # flux-LoRA-r16-SOAP-4e-4-bs4 This is a standard PEFT LoRA 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: ``` tommy chong sitting to the left of cheech marin ``` ## Validation settings - CFG: `3.0` - CFG Rescale: `0.0` - Steps: `20` - Sampler: `None` - Seed: `42` - Resolution: `512x512` 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: 12 - Training steps: 1000 - Learning rate: 0.0008 - Effective batch size: 4 - Micro-batch size: 4 - Gradient accumulation steps: 1 - Number of GPUs: 1 - Prediction type: flow-matching - Rescaled betas zero SNR: False - Optimizer: soap - Precision: Pure BF16 - Quantised: Yes: int8-quanto - Xformers: Not used - LoRA Rank: 16 - LoRA Alpha: None - LoRA Dropout: 0.1 - LoRA initialisation style: default ## Datasets ### cheechandchong-512 - Repeats: 10 - Total number of images: 17 - Total number of aspect buckets: 3 - Resolution: 0.262144 megapixels - Cropped: True - Crop style: random - Crop aspect: square ## Inference ```python import torch from diffusers import DiffusionPipeline model_id = 'black-forest-labs/FLUX.1-dev' adapter_id = 'bghira/flux-LoRA-r16-SOAP-4e-4-bs4' pipeline = DiffusionPipeline.from_pretrained(model_id) pipeline.load_lora_weights(adapter_id) prompt = "tommy chong sitting to the left of cheech marin" 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=512, height=512, guidance_scale=3.0, ).images[0] image.save("output.png", format="PNG") ```