| # v3nu5-cop - SD3.5 Large LoRA Models | |
| ## Model Description | |
| This repository contains four LoRA (Low-Rank Adaptation) models trained on Stable Diffusion 3.5 Large, designed for generating images with specific styling and characteristics. Each model variant explores different caption preprocessing and optimization approaches. | |
| ## Model Variants | |
| | Model | Caption Type | Optimizer | File | | |
| |-------|-------------|-----------|------| | |
| | v0b | PREFIX | PRODIGY | `sd35L-v3nu5-cop-v0b.safetensors` | | |
| | v0c | PREFIX | ADAMW8BIT | `sd35L-v3nu5-cop-v0c.safetensors` | | |
| | v0d | CONTEXT | PRODIGY | `sd35L-v3nu5-cop-v0d.safetensors` | | |
| | v0f | CONTEXT | ADAMW8BIT | `sd35L-v3nu5-cop-v0f.safetensors` | | |
| ### Training Details | |
| - **Base Model**: Stable Diffusion 3.5 Large | |
| - **Training Dataset**: [mushroomfleet/venus-cop](https://huggingface.co/datasets/mushroomfleet/venus-cop) | |
| - **Model Type**: LoRA (Low-Rank Adaptation) | |
| - **Model Size**: ~147 MB per variant | |
| ### Caption Types | |
| - **PREFIX**: Captions are structured with key descriptors at the beginning | |
| - **CONTEXT**: Captions provide contextual scene descriptions | |
| ### Optimizers | |
| - **PRODIGY**: Advanced adaptive learning rate optimizer | |
| - **ADAMW8BIT**: Memory-efficient 8-bit AdamW optimizer | |
| ## Usage | |
| ### ComfyUI | |
| 1. Download the desired `.safetensors` file | |
| 2. Place it in your `ComfyUI/models/loras/` directory | |
| 3. Load the LoRA in your workflow with appropriate strength (recommended: 0.6-1.0) | |
| ### Automatic1111/Forge | |
| 1. Download the desired `.safetensors` file | |
| 2. Place it in your `stable-diffusion-webui/models/Lora/` directory | |
| 3. Use in prompts with: `<lora:sd35L-v3nu5-cop-v0X:0.8>` (replace X with variant) | |
| ### Diffusers | |
| ```python | |
| from diffusers import StableDiffusion3Pipeline | |
| import torch | |
| # Load base model | |
| pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large") | |
| # Load LoRA weights | |
| pipe.load_lora_weights("mushroomfleet/v3nu5-cop", weight_name="sd35L-v3nu5-cop-v0b.safetensors") | |
| # Generate image | |
| prompt = "your prompt here" | |
| image = pipe(prompt, num_inference_steps=28, guidance_scale=4.5).images[0] | |
| ``` | |
| ## Recommended Settings | |
| - **Strength**: 0.6-1.0 | |
| - **CFG Scale**: 4.5-7.0 | |
| - **Steps**: 28-35 | |
| - **Sampler**: DPM++ 2M or Euler | |
| ## Model Comparison | |
| Each variant offers different characteristics: | |
| - **v0b (PREFIX + PRODIGY)**: Strong adherence to structured prompting | |
| - **v0c (PREFIX + ADAMW8BIT)**: Balanced approach with prefix structure | |
| - **v0d (CONTEXT + PRODIGY)**: Natural scene understanding | |
| - **v0f (CONTEXT + ADAMW8BIT)**: Contextual generation with efficiency | |
| ## License | |
| Please refer to the base Stable Diffusion 3.5 Large license terms. | |
| ## Training Dataset | |
| These models were trained using the [venus-cop dataset](https://huggingface.co/datasets/mushroomfleet/venus-cop). Please refer to the dataset page for more information about the training data. | |
| ## Citation | |
| If you use these models in your work, please consider citing: | |
| ```bibtex | |
| @misc{v3nu5-cop-lora, | |
| title={v3nu5-cop: SD3.5 Large LoRA Models}, | |
| author={mushroomfleet}, | |
| year={2025}, | |
| howpublished={\url{https://huggingface.co/mushroomfleet/v3nu5-cop}} | |
| } | |
| ``` | |
| ## Contact | |
| For questions or issues, please open an issue in this repository or contact through Hugging Face. |