Instructions to use pkats94/amaya-hart-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pkats94/amaya-hart-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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pkats94/amaya-hart-lora") prompt = "amayahart" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Amaya Hart โ FLUX.1-dev LoRA
A character LoRA for the original fictional model Amaya Hart, trained on FLUX.1-dev (29 images, 1000 steps, rank 16).
Trigger word: amayahart
Signature look: heterochromia โ green left eye / brown right eye โ warm golden-brown skin, freckles, long dark wavy hair with honey highlights.
Usage (diffusers)
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights("pkats94/amaya-hart-lora", weight_name="amaya-hart.safetensors")
image = pipe(
"a photo of amayahart woman, candid iPhone selfie, soft window light",
num_inference_steps=28, guidance_scale=3.5,
).images[0]
image.save("amaya.png")
Put amayahart near the start of the prompt. Recommended LoRA scale 0.8โ1.0.
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Model tree for pkats94/amaya-hart-lora
Base model
black-forest-labs/FLUX.1-dev