🌊 Imageflow.1.1.1

Text-to-Image model by jeffvedd
Base: stabilityai/stable-diffusion-xl-base-1.0
Framework: 🤗 Diffusers

🚀 Uso Rápido

from diffusers import StableDiffusionXLPipeline
import torch

pipe = StableDiffusionXLPipeline.from_pretrained(
    'jeffvedd/Imageflow',
    torch_dtype=torch.float16,
    use_safetensors=True,
).to('cuda')

image = pipe(
    prompt='A futuristic city at night, neon lights, ultra detailed',
    negative_prompt='blurry, low quality',
    num_inference_steps=30,
    guidance_scale=7.5,
).images[0]
image.save('output.png')

⚙️ Parâmetros Recomendados

Parâmetro	Valor
guidance_scale	7.0 – 9.0
num_inference_steps	25 – 40
resolution	1024×1024

Autor: jeffvedd · Treinado em: Kaggle GPU