--- tags: - text-to-image - lora - diffusers - template:diffusion-lora - SD3.5-Turbo - Realism - 10Steps - Fast-Diffusion widget: - text: >- Turbo Realism, High-resolution photograph, woman, UHD, photorealistic, shot on a Sony A7III --chaos 20 --ar 1:2 --style raw --stylize 250 output: url: images/SD1.webp - text: >- Turbo Realism, Headshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait photography --ar 85:128 --v 6.0 --style rawHeadshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait photography --ar 85:128 --v 6.0 --style rawHeadshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait photography --ar 85:128 --v 6.0 --style raw output: url: images/SD2.webp - text: >- Turbo Realism, A portrait of an attractive woman in her late twenties with light brown hair and purple, wearing large a a yellow sweater. She is looking directly at the camera, standing outdoors near trees.. --ar 128:85 --v 6.0 --style raw output: url: images/SD3.webp base_model: stabilityai/stable-diffusion-3.5-large-turbo instance_prompt: Turbo Realism license: creativeml-openrail-m --- # SD3.5-Turbo-Realism-2.0-LoRA Demo space + Grid Gen Upto 3X2 : https://huggingface.co/spaces/prithivMLmods/SD3.5-TURBO-REALISM (In Use) **The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.** ## Model description **prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA** Image Processing Parameters | Parameter | Value | Parameter | Value | |---------------------------|--------|---------------------------|--------| | LR Scheduler | constant | Noise Offset | 0.03 | | Optimizer | AdamW | Multires Noise Discount | 0.1 | | Network Dim | 64 | Multires Noise Iterations | 10 | | Network Alpha | 32 | Repeat & Steps | 20 & 2350 | | Epoch | 13 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 27 ## App File Structure /project-root/ ├── .gitattributes ├── README.md ├── app.py ├── pythonproject.py ## Setting Up ``` from diffusers import DiffusionPipeline import torch device = "cuda" if torch.cuda.is_available() else "cpu" model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo" torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype) pipe = pipe.to(device) pipe.load_lora_weights("prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA", weight_name="SD3.5-Turbo-Realism-2.0-LoRA.safetensors") trigger_word = "Turbo Realism" pipe.fuse_lora(lora_scale=1.0) ``` ## Trigger words You should use `Turbo Realism` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA/tree/main) them in the Files & versions tab.