Özel Stil Eğitimi

import requests
import os
from dotenv import load_dotenv
import mimetypes

load_dotenv()

API_BASE = "https://api.krea.ai"
API_TOKEN = os.getenv("API_TOKEN")

image_dir = "training_images"
uploaded_urls = []

for filename in os.listdir(image_dir):
    if filename.lower().endswith(('.jpg', '.jpeg', '.png', '.webp')):
        filepath = os.path.join(image_dir, filename)
        mime_type, _ = mimetypes.guess_type(filepath)

        with open(filepath, 'rb') as f:
            response = requests.post(
                f"{API_BASE}/assets",
                headers={"Authorization": f"Bearer {API_TOKEN}"},
                files={"file": (filename, f, mime_type)},
                data={"description": f"Training image: {filename}"}
            )

        if response.ok:
            data = response.json()
            uploaded_urls.append(data["image_url"])
            print(f"Uploaded: {filename}")
        else:
            print(f"Failed: {filename}")

print(f"\nUploaded {len(uploaded_urls)} images")

# Tek bir görüntü yükle
curl -X POST https://api.krea.ai/assets \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -F "file=@/path/to/image.jpg" \
  -F "description=Training image"

# Yanıt: {"id": "...", "image_url": "https://..."}

import requests
import os
from dotenv import load_dotenv

load_dotenv()

API_BASE = "https://api.krea.ai"
API_TOKEN = os.getenv("API_TOKEN")

# Yükleme adımından gelen eğitim URL'leri
urls = [
    "https://krea.ai/assets/img1.jpg",
    "https://krea.ai/assets/img2.jpg",
    "https://krea.ai/assets/img3.jpg",
    # ... daha fazla görüntü
]

response = requests.post(
    f"{API_BASE}/styles/train",
    headers={
        "Authorization": f"Bearer {API_TOKEN}",
        "Content-Type": "application/json"
    },
    json={
        "name": "Ukiyo-E Style",
        "urls": urls,
        "model": "flux_dev",
        "type": "Style",
        "max_train_steps": 500
    }
)

response.raise_for_status()
job = response.json()
print(f"Training started! Job ID: {job['job_id']}")

curl -X POST https://api.krea.ai/styles/train \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Ukiyo-E Style",
    "urls": [
      "https://krea.ai/assets/img1.jpg",
      "https://krea.ai/assets/img2.jpg",
      "https://krea.ai/assets/img3.jpg"
    ],
    "model": "flux_dev",
    "type": "Style",
    "max_train_steps": 500
  }'

import requests
import time
import os
from dotenv import load_dotenv

load_dotenv()

API_BASE = "https://api.krea.ai"
API_TOKEN = os.getenv("API_TOKEN")
job_id = "your-job-id"

while True:
    response = requests.get(
        f"{API_BASE}/jobs/{job_id}",
        headers={"Authorization": f"Bearer {API_TOKEN}"}
    )
    job = response.json()
    status = job["status"]

    print(f"Status: {status}")

    if status == "completed":
        style_id = job["result"]["style_id"]
        print(f"Training complete! Style ID: {style_id}")
        break
    elif status in ["failed", "cancelled"]:
        print(f"Training {status}")
        break

    time.sleep(30)

# İş durumunu kontrol et (tamamlanana kadar tekrarla)
curl -X GET https://api.krea.ai/jobs/YOUR_JOB_ID \
  -H "Authorization: Bearer YOUR_API_TOKEN"

import requests
import time
import os
from dotenv import load_dotenv

load_dotenv()

API_BASE = "https://api.krea.ai"
API_TOKEN = os.getenv("API_TOKEN")
STYLE_ID = "w29t6pvy0"

response = requests.post(
    f"{API_BASE}/generate/image/krea/krea-2/medium",
    headers={
        "Authorization": f"Bearer {API_TOKEN}",
        "Content-Type": "application/json"
    },
    json={
        "prompt": "An abstract, colorful, surreal composition of symmetry and balance. Swirling colors, imagery of trees and coalescing patterns converge. The lantern of light and death. It is as if the world was at once dark, and yet again lit.",
        "aspect_ratio": "1:1",
        "resolution": "1K",
        "styles": [
            {
                "id": STYLE_ID,
                "strength": 0.95
            }
        ]
    }
)

job = response.json()
job_id = job["job_id"]
print(f"Generation started! Job ID: {job_id}")

# Tamamlanma için sorgula
while True:
    check = requests.get(
        f"{API_BASE}/jobs/{job_id}",
        headers={"Authorization": f"Bearer {API_TOKEN}"}
    )
    status_data = check.json()

    if status_data["status"] == "completed":
        image_url = status_data["result"]["urls"][0]
        print(f"Image ready: {image_url}")
        break
    elif status_data["status"] == "failed":
        print("Generation failed")
        break

    time.sleep(2)

# Stille üretim yap
curl -X POST https://api.krea.ai/generate/image/krea/krea-2/medium \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "An abstract, colorful, surreal composition of symmetry and balance. Swirling colors, imagery of trees and coalescing patterns converge. The lantern of light and death. It is as if the world was at once dark, and yet again lit.",
    "aspect_ratio": "1:1",
    "resolution": "1K",
    "styles": [
      {
        "id": "w29t6pvy0",
        "strength": 0.95
      }
    ]
  }'

# Ardından sonuç için /jobs/{job_id} adresini sorgulayın