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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 |
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## App File Structure |
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/project-root/ |
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├── .gitattributes |
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├── README.md |
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├── app.py |
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├── 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 🧨 |
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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. |
