Instructions to use prithivMLmods/SD3.5-Large-Photorealistic-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/SD3.5-Large-Photorealistic-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/SD3.5-Large-Photorealistic-LoRA") prompt = "A photorealistic portrait of a young woman with short dark brown hair, wearing a grey spaghetti-strap top, standing outdoors in soft daylight. The background includes a blurred pool and greenery, creating a serene and summery atmosphere. Warm lighting highlights her natural beauty and relaxed expression." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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).images[0]
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image.save(f"example.jpg")
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```
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## Trigger words 🧨
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You should use `photorealistic` to trigger the image generation.
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).images[0]
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image.save(f"example.jpg")
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```
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## Trigger words 🧨
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You should use `photorealistic` to trigger the image generation.
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