drifella

This LoRA model generates vibrant digital collages featuring stylized anthropomorphic cats, characterized by large expressive eyes and quirky accessories like headbands and cigarettes. The compositions often incorporate bold text and musical elements against striking backgrounds, emphasizing a playful and artistic visual style.

Trigger word: drifella

Sample Outputs

Sample 1 Sample 2
drifella, This is a digital collage featuring a stylized, an... drifella, This digital collage features a surreal, anthropom...
Sample 3 Sample 4
drifella, This is a digitally altered photograph featuring a... drifella, This digital artwork features a surreal, cartoonis...

Usage

ComfyUI

  1. Download the .safetensors file from the Files tab
  2. Place in ComfyUI/models/loras/
  3. Use the Load LoRA node with strength 0.8-1.0
  4. Include drifella in your prompt

Diffusers

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.bfloat16
)
pipe.load_lora_weights("ms2stationthis/drifella")
pipe.to("cuda")

image = pipe(
    prompt="drifella portrait, soft lighting, detailed",
    guidance_scale=3.5-4.0,
    num_inference_steps=20-30,
    generator=torch.Generator("cuda").manual_seed(42)
).images[0]

image.save("output.png")

Recommended Settings

Parameter Value
LoRA Strength 0.8-1.0
Guidance Scale 3.5-4.0
Inference Steps 20-30
Resolution 1024x1024

Example Prompts

  • drifella this is a digital collage featuring a stylized
  • drifella anthropomorphic gray cat with large blue eyes
  • drifella a red nose
  • drifella with a in the style of grungy

Training Details

  • Base model: black-forest-labs/FLUX.1-dev
  • Training steps: 4000
  • Trigger word: drifella
  • Network: LoRA rank 32, alpha 32
  • Optimizer: adamw8bit, lr 1e-4
  • Precision: float16
  • Resolution: 512, 768, 1024 (multi-res bucketed)

About

Trained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.


Generated by StationThis Training Pipeline

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