
Simple And Efficient Model Mixing Method - Sample 4 Double Stack
by ModelsLabLora link
https://civitai.com/models/12427/old-school-shoujo
使用权重 150
Weights 150
https://civitai.com/models/9146/shaft-head-tilt-or-or-45-pose-lora
使用权重 1000
Weights 1000
最近两个月里,我把所有的精力都用在测试LORA上。但是测试的效率低下,一天里最多测试300个LORA。总之如果你也想探索未知,我可以提供一些经验。
首先LORA的类型
根据LORA训练时的标注,我将其分为扩散LORA和扩展LORA。接下来我会进行解释。
扩散LORA,这一类LORA在训练时使用了通用的标注词,如(1girl,solo)。或者训练时没有进行特别标注。
扩展LORA,我想这个就不用特别解释了吧。
LORA测试的方式
使用图生图进行测试。
In the past two months, I've put all my energy into testing Lora. However, the testing efficiency has been low, with a maximum of 300 Lora tested in a day. In short, if you also want to explore the unknown, I can share some experiences.
First, the types of Lora
According to the annotations during Lora training, I have divided it into diffusion Lora and extended Lora. Next, I will provide an explanation
Diffusion Lora, this type of Lora uses general labeling words during training, such as (1 girl, solo). Or there was no special labeling during training.
Expand Lora, I don't think this needs much explanation.
the method of Lora testing
Testing with image-to-image generation
simple-and-efficient-model-mixing-method-4-double-stackInput
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 Simple And Efficient Model Mixing Method - Sample 4 Double Stack
Lora linkhttps://civitai.com/models/12427/old-school-shoujo使用权重 150 Weights 150https://civitai.com/models/9146/shaft-head-tilt-or-or-45-pose-lora使用权重 1000Weights 1000最近两个月里,我把所有的精力都用在测试LORA上。但是测试的效率低下,一天里最多测试300个LORA。总之如果你也想探索未知,我可以提供一些经验。首先LORA的类型根据LORA训练时的标注,我将其分为扩散LORA和扩展LORA。接下来我会进行解释。扩散LORA,这一类LORA在训练时使用了通用的标注词,如(1girl,solo)。或者训练时没有进行特别标注。扩展LORA,我想这个就不用特别解释了吧。LORA测试的方式使用图生图进行测试。In the past two months, I've put all my energy into testing Lora. However, the testing efficiency has been low, wi
Technical Specifications
- Model ID
- simple-and-efficient-model-mixing-method-4-double-stack
- Provider
- Modelslab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- June 4, 2025
Quick Start
Integrate Simple And Efficient Model Mixing Method - Sample 4 Double Stack 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": "simple-and-efficient-model-mixing-method-4-double-stack","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
Simple And Efficient Model Mixing Method - Sample 4 Double Stack API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
Simple And Efficient Model Mixing Method - Sample 4 Double Stack FAQ
Lora linkhttps://civitai.com/models/12427/old-school-shoujo使用权重 150 Weights 150https://civitai.com/models/9146/shaft-head-tilt-or-or-45-pose-lora使用权重 1000Weights 1000最近两个月里,我把所有的精力都用在测试LORA上。但是测试的效率低下,一天里最多测试300个LORA。总之如果你也想探索未知,我可以提供一些经验。首先LORA的类型根据LORA训练时的标注,我将其分为扩散LORA和扩展LORA。接下来我会进行解释。扩散LORA,这一类
You can integrate Simple And Efficient Model Mixing Method - Sample 4 Double Stack into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "simple-and-efficient-model-mixing-method-4-double-stack" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Simple And Efficient Model Mixing Method - Sample 4 Double Stack 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 Simple And Efficient Model Mixing Method - Sample 4 Double Stack is "simple-and-efficient-model-mixing-method-4-double-stack". Use this ID in your API requests to specify this model.
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