| # requirements: diffusers, transformers, accelerate, safetensors, torch |
| # Google Colab'da: pip install diffusers transformers accelerate safetensors |
|
|
| from diffusers import StableDiffusionPipeline |
| import torch |
|
|
| model_id = "runwayml/stable-diffusion-v1-5" # o'zingga mos modelni kirit |
| device = "cuda" if torch.cuda.is_available() else "cpu" |
|
|
| pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16 if device=="cuda" else torch.float32) |
| pipe = pipe.to(device) |
| |
| prompt = ("Tinker Bell-inspired fairy, photorealistic 3D, sitting on a bed, soft morning light through window, " |
| "delicate translucent wings with filigree patterns, green lace lingerie, dreamy cinematic lighting, high detail skin texture, shallow depth of field, 85mm, filmic color grading, ultra-detailed, 8k") |
| negative = "blurry, deformed, extra limbs, bad anatomy, lowres, watermark, text, jpeg artifacts, mutated hands" |
| |
| image = pipe(prompt=prompt, |
| negative_prompt=negative, |
| guidance_scale=8.0, |
| num_inference_steps=30, |
| height=1536, |
| width=1024).images[0] |
| |
| image.save("tinkerbell_result.png") |
| print("Saved: tinkerbell_result.png") |
