Instructions to use Ninifee/flfwrld-style-lora-replicate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ninifee/flfwrld-style-lora-replicate 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ninifee/flfwrld-style-lora-replicate") prompt = "flfwrld" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flfwrld โ Fluffy World Style LoRA
A style LoRA for FLUX.1-dev, trained to capture a soft, fluffy visual aesthetic.
Trigger word
Use flfwrld in your prompt to activate the style.
Example:
flfwrld, a cozy cabin in a snowy forest at dusk
Training details
- Base model: FLUX.1-dev
- LoRA type: Style
- Training steps: 1000
- Seed: 42
- Trained with: fast-flux-trainer on Replicate (8x H100)
A version of this LoRA was also trained with AI Toolkit by Ostris for comparison.
Usage
Diffusers
from diffusers import FluxPipeline
import torch
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights("YOUR_USERNAME/flfwrld-fluffy-lora")
image = pipe(
"flfwrld, a cozy cabin in a snowy forest at dusk",
num_inference_steps=28,
guidance_scale=3.5,
).images[0]
image.save("output.png")
Replicate
import Replicate from "replicate";
const replicate = new Replicate();
const output = await replicate.run(
"annina-walker/flfwrld-fluffy-lora:df6d510f",
{ input: { prompt: "flfwrld, a cozy cabin in a snowy forest at dusk" } }
);
License
This LoRA is a derivative of FLUX.1-dev and is subject to the FLUX.1-dev Non-Commercial License.
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Model tree for Ninifee/flfwrld-style-lora-replicate
Base model
black-forest-labs/FLUX.1-dev