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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- template:diffusion-lora |
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- stable-diffusion-3.5-large-turbo |
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- hyper-realistic |
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- realism |
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- epic-realism |
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widget: |
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- text: >- |
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Hyper Realistic, dark haired woman is standing in front of orange light, in |
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glossy transparent plastic futuristic raincoat, short hair, volumetric |
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lighting, cinematic angle, glamour vibrant. |
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output: |
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url: images/222.webp |
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- text: >- |
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Photograph of two young men, one with short blonde hair and the other with |
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brown hair, standing in front of mountains and wearing old West-style and |
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tank tops, abs, fit, The image is in a vintage black-and-white photography |
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style, in the style of Richard Avedon. --v 6. 1 --ar 113:128 |
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output: |
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url: images/000.webp |
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- text: >- |
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A photorealistic portrait of a 22-year-old Indian woman smiles confidently |
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at the camera, with long, straight black hair and warm brown eyes. She wears |
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a yet casual dress that combines comfort and style, posed in a full-body |
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shot with her hands casually resting at her sides, showcasing a stylish |
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watch on her left wrist. The image features high detail and quality, |
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captured in soft, natural lighting that accentuates her approachable |
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expression as she stands in a modern urban environment. |
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output: |
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url: images/444.webp |
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base_model: stabilityai/stable-diffusion-3.5-large-turbo |
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instance_prompt: hyper realistic |
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license: creativeml-openrail-m |
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--- |
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# SD3.5-4/8Step-Large-Turbo-HyperRealistic-LoRA |
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<Gallery /> |
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**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.** |
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## Model description |
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**prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA** |
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Image Processing Parameters |
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| Parameter | Value | Parameter | Value | |
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|---------------------------|--------|---------------------------|--------| |
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| LR Scheduler | constant | Noise Offset | 0.03 | |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 | |
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| Network Dim | 64 | Multires Noise Iterations | 10 | |
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| Network Alpha | 32 | Repeat & Steps | 20 & 2.2k | |
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| Epoch | 15 | Save Every N Epochs | 1 | |
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Labeling: florence2-en(natural language & English) |
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Total Images Used for Training : 30 |
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## Sample Image + Prompt |
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![SD3.5-Large-Turbo-HyperRealistic-LoRA](images/333.webp) |
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| **Prompt** | |
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|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| Beautiful girl standing with beautiful vally in background, age 20, black short hair, waist shot, dynamic pose, smiling, dressed in fashion outfit, beautiful eyes, sweet makeup, 35mm lens, beautiful lighting, photorealistic, soft focus, kodak portra 800, 8k. | |
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## App File Structure |
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/project-root/ |
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βββ .gitattributes |
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βββ README.md |
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βββ app.py |
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βββ pythonproject.py |
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## Setting Up |
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``` |
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from diffusers import DiffusionPipeline |
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import torch |
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device = "cuda" if torch.cuda.is_available() else "cpu" |
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model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo" |
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torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32 |
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pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype) |
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pipe = pipe.to(device) |
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pipe.load_lora_weights("prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA", weight_name="SD3.5-4Step-Large-Turbo-HyperRealistic-LoRA.safetensors") |
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trigger_word = "hyper realistic" # Specify trigger word for LoRA |
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pipe.fuse_lora(lora_scale=1.0)) |
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``` |
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## Trigger words 𧨠|
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> [!WARNING] |
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> **Trigger words:** You should use `hyper realistic` to trigger the image generation. |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](/prithivMLmods/SD3.5-4Step-Large-Turbo-HyperRealistic-LoRA/tree/main) them in the Files & versions tab. |