Instructions to use steven-fei/emma_realvisxl_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use steven-fei/emma_realvisxl_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("SG161222/RealVisXL_V5.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("steven-fei/emma_realvisxl_lora") prompt = "`emma, young woman, long dark hair, white dress, studio lighting, neutral background`" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
emma_realvisxl_lora

- Prompt
- `emma, young woman, long dark hair, white dress, studio lighting, neutral background`
Model description
SDXL LoRA (Kohya) for consistent character "Emma" โ trigger: emma_hero01 โ base: RealVisXL V5.0 fp16 โ photoreal portrait / fashion try-on MVP.
Trigger words
You should use Use **`emma_hero01`** at the beginning of the positive prompt (same token used in training captions). to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for steven-fei/emma_realvisxl_lora
Base model
SG161222/RealVisXL_V5.0