--- license: other base_model: "stabilityai/stable-diffusion-3.5-large" tags: - sd3 - sd3-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: 'emaSde3Ver1, a high-resolution photograph featuring a young caucasian woman with long, wavy, platinum blonde hair cascading over her shoulders, she has a slender yet curvaceous physique with prominent breasts and a small waist, her skin is fair and smooth, with a slight blush on her cheeks, giving her a sultry expression, she is wearing a sheer, black fishnet bodysuit that accentuates her curves, with her back to the viewer, revealing her lower back and buttocks, the bodice is made of a soft, textured fabric that clings to her body, emphasizing her curves and the texture of the fishnet fabric, she also wears a black choker around her neck, adding a touch of sensuality to her attire, the background features a blurred, out-of-focus view of a cityscape with distant mountains and a clear blue sky, suggesting an outdoor setting, the balcony she is standing on has wooden railings and a wooden railing, adding to the sense of a balcony or terrace, the overall mood of the photograph is sensual and intimate, emphasizing the subject''s allure and beauty' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_1_0.png --- # sd35-training This is a LyCORIS adapter derived from [stabilityai/stable-diffusion-3.5-large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large). The main validation prompt used during training was: ``` emaSde3Ver1, a high-resolution photograph featuring a young caucasian woman with long, wavy, platinum blonde hair cascading over her shoulders, she has a slender yet curvaceous physique with prominent breasts and a small waist, her skin is fair and smooth, with a slight blush on her cheeks, giving her a sultry expression, she is wearing a sheer, black fishnet bodysuit that accentuates her curves, with her back to the viewer, revealing her lower back and buttocks, the bodice is made of a soft, textured fabric that clings to her body, emphasizing her curves and the texture of the fishnet fabric, she also wears a black choker around her neck, adding a touch of sensuality to her attire, the background features a blurred, out-of-focus view of a cityscape with distant mountains and a clear blue sky, suggesting an outdoor setting, the balcony she is standing on has wooden railings and a wooden railing, adding to the sense of a balcony or terrace, the overall mood of the photograph is sensual and intimate, emphasizing the subject's allure and beauty ``` ## Validation settings - CFG: `5.0` - CFG Rescale: `0.0` - Steps: `30` - Sampler: `None` - Seed: `42` - Resolution: `1024` 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: 139 - Training steps: 3500 - Learning rate: 0.0001 - Max grad norm: 0.01 - Effective batch size: 2 - Micro-batch size: 2 - Gradient accumulation steps: 1 - Number of GPUs: 1 - Prediction type: flow-matching (extra parameters=['shift=3']) - Rescaled betas zero SNR: False - Optimizer: adamw_bf16 - Precision: Pure BF16 - Quantised: Yes: int8-quanto - Xformers: Not used - LyCORIS Config: ```json { "bypass_mode": true, "algo": "lokr", "multiplier": 1.0, "full_matrix": true, "linear_dim": 10000, "linear_alpha": 1, "factor": 12, "apply_preset": { "target_module": [ "Attention" ], "module_algo_map": { "Attention": { "factor": 6 } } } } ``` ## Datasets ### emaSde3Ver1 - Repeats: 0 - Total number of images: 50 - Total number of aspect buckets: 1 - Resolution: 1.0 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 = 'stabilityai/stable-diffusion-3.5-large' adapter_repo_id = 'alexnvo/sd35-training' 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 = "emaSde3Ver1, a high-resolution photograph featuring a young caucasian woman with long, wavy, platinum blonde hair cascading over her shoulders, she has a slender yet curvaceous physique with prominent breasts and a small waist, her skin is fair and smooth, with a slight blush on her cheeks, giving her a sultry expression, she is wearing a sheer, black fishnet bodysuit that accentuates her curves, with her back to the viewer, revealing her lower back and buttocks, the bodice is made of a soft, textured fabric that clings to her body, emphasizing her curves and the texture of the fishnet fabric, she also wears a black choker around her neck, adding a touch of sensuality to her attire, the background features a blurred, out-of-focus view of a cityscape with distant mountains and a clear blue sky, suggesting an outdoor setting, the balcony she is standing on has wooden railings and a wooden railing, adding to the sense of a balcony or terrace, the overall mood of the photograph is sensual and intimate, emphasizing the subject's allure and beauty" negative_prompt = 'blurry, cropped, ugly' ## 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, negative_prompt=negative_prompt, num_inference_steps=30, 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=5.0, ).images[0] image.save("output.png", format="PNG") ```