Deploy Dedicated GPU server to run AI models

Deploy Model
Skip to main content
Negative Embedding for Realistic Vision v2.0 thumbnail

Negative Embedding For Realistic Vision V2.0

by ModelsLab

This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I have not tested it on other models.

To use this embedding you need to download it, put it in your embeddings folder, and then activate it in the negative prompt by typing out it's filename in the negative prompt. By default that will be "realisticvision-negative-embedding" (do not enter the file extension in the negative prompt). If you don't like that activation phrase, then you can change the filename to whatever you want, and that becomes the new activation phrase.

negative-embedding-f
Open Source ModelUnlimited UsageLLMs.txt
API PlaygroundAPI Documentation

Input

Select models...

Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.

Output

Idle

Unknown content type

About Negative Embedding For Realistic Vision V2.0

This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I have not tested it on other models. To use this embedding you need to download it, put it in your embeddings folder, and then activate it in the negative prompt by typing out it's filename in the negati

Technical Specifications

Model ID
negative-embedding-f
Provider
Modelslab
Task
AI Generation
Price
$0.0047 per API call
Added
September 16, 2023

Quick Start

Integrate Negative Embedding For Realistic Vision V2.0 into your application with a single API call. Get your API key from the pricing page to get started.

import requests
import json
url = "https://modelslab.com/api/v6/images/text2img"
headers = {
"Content-Type": "application/json"
}
data = {
"model_id": "negative-embedding-f",
"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

Negative Embedding For Realistic Vision V2.0 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans

Negative Embedding For Realistic Vision V2.0 FAQ

This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I ha

You can integrate Negative Embedding For Realistic Vision V2.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "negative-embedding-f" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

Negative Embedding For Realistic Vision V2.0 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 Negative Embedding For Realistic Vision V2.0 is "negative-embedding-f". Use this ID in your API requests to specify this model.

Yes, ModelsLab offers a free tier that lets you try Negative Embedding For Realistic Vision V2.0 and other AI models. Sign up to get free API credits and start building immediately.