import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Falah/arabic-amera", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]arabic-amera model trained by Falah.G.Salieh
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With Stable Diffusion, we can now create artificial intelligence art generation images using trained images. In this model, we can create images of an Arab princess called Arabic amera in Arabic languages (اميرة عربية) as famous images, or anything you can think of Test the concept via A1111 Colab fast-Colab-A1111.
Any prompt and add arabic-amera style word:
prompts:
25yo Arabic smiling female looking at the viewer, a detailed face,
attractive, full elegant dress, wavy chestnut hair, ((closeup)), perfect eyes,
(interior home background), (photorealistic), intricate, highly detailed, absurd res,
symmetrical, backlighting, colorful, concept art,
(photography:1.5), sharp focus, illustration, award-winning, 8K.by arabic-amera style
Sample pictures of this concept:
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