V4.5-Remark2
by ModelsLabv4.5-remark 2
使用自訓練的 LoCon 來調整光影表現，在部分光線描述下表現較好。
Use self-trained LoCon to adjust the light and shadow performance, and perform better under partial light descriptions.
自己トレーニングされた LoCon を使用して光と影のパフォーマンスを調整し、部分的な光の説明でパフォーマンスを向上させます。
자체 훈련된 LoCon을 사용하여 빛과 그림자 성능을 조정하고 부분적인 빛 설명에서 더 나은 성능을 발휘합니다.
v45remark2Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
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About V4.5-Remark2
v4.5-remark 2使用自訓練的 LoCon 來調整光影表現，在部分光線描述下表現較好。Use self-trained LoCon to adjust the light and shadow performance, and perform better under partial light descriptions.自己トレーニングされた LoCon を使用して光と影のパフォーマンスを調整し、部分的な光の説明でパフォーマンスを向上させます。자체 훈련된 LoCon을 사용하여 빛과 그림자 성능을 조정하고 부분적인 빛 설명에서 더 나은 성능을 발휘합니다.
Technical Specifications
- Model ID
- v45remark2
- Provider
- Modelslab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- June 4, 2025
Quick Start
Integrate V4.5-Remark2 into your application with a single API call. Get your API key from the pricing page to get started.
import requestsimport jsonurl = "https://modelslab.com/api/v6/images/text2img"headers = {"Content-Type": "application/json"}data = {"model_id": "v45remark2","prompt": "your prompt here","key": "YOUR_API_KEY"}try:response = requests.post(url, headers=headers, json=data)response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)result = response.json()print("API Response:")print(json.dumps(result, indent=2))except requests.exceptions.HTTPError as http_err:print(f"HTTP error occurred: {http_err} - {response.text}")except Exception as err:print(f"Other error occurred: {err}")
View the full API documentation for SDKs, code examples in Python, JavaScript, and more.
Pricing
V4.5-Remark2 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
V4.5-Remark2 FAQ
v4.5-remark 2使用自訓練的 LoCon 來調整光影表現，在部分光線描述下表現較好。Use self-trained LoCon to adjust the light and shadow performance, and perform better under partial light descriptions.自己トレーニングされた LoCon を使用して光と影のパフォーマンスを調整し、部分的な光の説明でパフォーマンスを向上させます。자체 훈련된 LoCon을 사용하여 빛과 그림자 성능을 조정하고 부분적인 빛 설명에서 더 나은 성능을 발휘합니다.
You can integrate V4.5-Remark2 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "v45remark2" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
V4.5-Remark2 costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.
The model ID for V4.5-Remark2 is "v45remark2". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try V4.5-Remark2 and other AI models. Sign up to get free API credits and start building immediately.