Instructions to use dammy11/EMMA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dammy11/EMMA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dammy11/EMMA") prompt = "EMMA, smiling influencer with elegant outfit, mirror selfie in modern bedroom" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
EMMA
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- EMMA, smiling influencer with elegant outfit, mirror selfie in modern bedroom

- Prompt
- EMMA, influencer in summer dress, sitting at outdoor café with natural light

- Prompt
- EMMA, influencer with perfect makeup, glamorous pose in minimalist hallway

- Prompt
- EMMA, influencer in gym outfit, dynamic pose in front of mirror

- Prompt
- EMMA, influencer in evening gown, sitting on designer sofa with soft lighting

- Prompt
- EMMA, influencer taking selfie in bedroom, natural light from window

- Prompt
- EMMA, influencer stylish on street, casual pose leaning against urban wall

- Prompt
- EMMA, glamorous influencer, sitting on bed with laptop and coffee cup

- Prompt
- EMMA, influencer in bikini on the beach, selfie with sea and clear sky background

- Prompt
- EMMA, influencer in casual clothing, mirror selfie in living room
Trigger words
You should use EMMA to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for dammy11/EMMA
Base model
black-forest-labs/FLUX.1-dev