nerijs / im-a-cool-lora

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Model's Last Updated: June 26 2026
text-to-image

Introduction of im-a-cool-lora

Model Details of im-a-cool-lora

AlbertFLUX

This is a LoRA derived from black-forest-labs/FLUX.1-dev .

The main validation prompt used during training was:

Albert the cat riding a horse on the moon
Validation settings
  • CFG: 3.5
  • CFG Rescale: 0.0
  • Steps: 30
  • Sampler: None
  • Seed: 42
  • Resolution: 1024

Note: The validation settings are not necessarily the same as the training settings .

The text encoder was not trained. You may reuse the base model text encoder for inference.

Training settings
  • Training epochs: 55
  • Training steps: 1400
  • Learning rate: 1.0
  • Effective batch size: 1
    • Micro-batch size: 1
    • Gradient accumulation steps: 1
    • Number of GPUs: 1
  • Prediction type: epsilon
  • Rescaled betas zero SNR: False
  • Optimizer: Prodigy
  • Precision: bf16
  • Xformers: Not used
  • LoRA Rank: 16
  • LoRA Alpha: 16
  • LoRA Dropout: 0.1
  • LoRA initialisation style: default
Datasets
Albert
  • Repeats: 0
  • Total number of images: 25
  • Total number of aspect buckets: 1
  • Resolution: 1 megapixels
  • Cropped: True
  • Crop style: center
  • Crop aspect: square
Inference
import torch
from diffusers import DiffusionPipeline

model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'AlbertFLUX'
pipeline = DiffusionPipeline.from_pretrained(model_id)\pipeline.load_lora_weights(adapter_id)

prompt = "Albert the cat riding a horse on the moon"
negative_prompt = "blurry, cropped, ugly"

pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
    prompt=prompt,
    negative_prompt='blurry, cropped, ugly',
    num_inference_steps=30,
    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
    width=1152,
    height=768,
    guidance_scale=3.5,
    guidance_rescale=0.0,
).images[0]
image.save("output.png", format="PNG")

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im-a-cool-lora huggingface.co

im-a-cool-lora huggingface.co is an AI model on huggingface.co that provides im-a-cool-lora's model effect (), which can be used instantly with this nerijs im-a-cool-lora model. huggingface.co supports a free trial of the im-a-cool-lora model, and also provides paid use of the im-a-cool-lora. Support call im-a-cool-lora model through api, including Node.js, Python, http.

im-a-cool-lora huggingface.co Url

https://huggingface.co/nerijs/im-a-cool-lora

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https://huggingface.co/nerijs/im-a-cool-lora

im-a-cool-lora install

im-a-cool-lora is an open source model from GitHub that offers a free installation service, and any user can find im-a-cool-lora on GitHub to install. At the same time, huggingface.co provides the effect of im-a-cool-lora install, users can directly use im-a-cool-lora installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

im-a-cool-lora install url in huggingface.co:

https://huggingface.co/nerijs/im-a-cool-lora

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