
Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1
by ModelsLabThis version is experimental. Trained based on Civitai guide to Flux.1
Include both booru tags and BLIP captions, clip skip set to 2
mikasa-ackerman-shingeki-no-kyojin-attack-on-titan-flux1-dev-v0-1Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
Related Models
Discover similar models you might be interested in
About Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1
This version is experimental. Trained based on Civitai guide to Flux.1Include both booru tags and BLIP captions, clip skip set to 2
Technical Specifications
- Model ID
- mikasa-ackerman-shingeki-no-kyojin-attack-on-titan-flux1-dev-v0-1
- Provider
- Modelslab
- Category
- Image Models
- Task
- Text to Image
- Price
- $0.0047 per API call
- Added
- June 4, 2025
Key Features
- High-resolution AI image generation from text prompts
- Negative prompt support for precise control
- Multiple output formats and aspect ratios
- Adjustable inference steps and guidance scale
- Batch generation support via API
Quick Start
Integrate Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1 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": "mikasa-ackerman-shingeki-no-kyojin-attack-on-titan-flux1-dev-v0-1","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
Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
Use Cases
- Product photography and e-commerce visuals
- Marketing and social media content creation
- Concept art and design prototyping
- Custom illustrations and artwork
Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1 FAQ
This version is experimental. Trained based on Civitai guide to Flux.1Include both booru tags and BLIP captions, clip skip set to 2
You can integrate Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "mikasa-ackerman-shingeki-no-kyojin-attack-on-titan-flux1-dev-v0-1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1 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 Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1 is "mikasa-ackerman-shingeki-no-kyojin-attack-on-titan-flux1-dev-v0-1". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try Mikasa Ackerman | Shingeki No Kyojin / Attack On Titan - Flux1-Dev-V0.1 and other AI models. Sign up to get free API credits and start building immediately.












![iPhone Photo [FLUX•SD3.5L] (Realism booster) - v1 pre-release 6750s](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e91e7d8c-a951-4aea-8aa7-3855f06f0e20/width=1056/28758030.jpeg)



![Metropolis Movie Style [FL/XL/IL/PD/1.5] - FLUX](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5787c70a-b70e-4398-b243-6927025a7f09/width=1536/26588594.jpeg)