imagepipeline / flux-Anime

huggingface.co
Total runs: 36
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 04 2024
text-to-image

Introduction of flux-Anime

Model Details of flux-Anime

{{MODEL_NAME}}
Generated on Image Pipeline

This {{MODEL_TYPE}} model is uploaded on imagepipeline.io

Model details - {{MODEL_DESCRIPTION}}

Try this model

How to try this model ?

You can try using it locally or send an API call to test the output quality.

Get your API_KEY from imagepipeline.io . No payment required.

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documentation

import requests  
import json  
  
url =  "https://imagepipeline.io/{{BASE_MODEL_PATH_PREFIX}}/text2image/v1/run"  
  
payload = json.dumps({  
"model_id":  "{{BASE_MODEL_ID}}",  
"prompt":  "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",  
"negative_prompt":  "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",  
"width":  "512",  
"height":  "512",  
"samples":  "1",  
"num_inference_steps":  "30",  
"safety_checker":  false,   
"guidance_scale":  7.5,  
"multi_lingual":  "no",  
"embeddings":  "{{EMBEDDING_MODEL_ID}}", 
"lora_models": "{{LORA_MODEL_ID}}", 
"lora_weights":  "{{LORA_MODEL_WEIGHT}}" 
})  
  
headers =  {  
'Content-Type':  'application/json',
'API-Key': 'your_api_key'
}  
  
response = requests.request("POST", url, headers=headers, data=payload)  
  
print(response.text)

}

Get more ready to use MODELS like this for SD 1.5 and SDXL :

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API Reference
Generate Image
  https://api.imagepipeline.io/{{BASE_MODEL_PATH_PREFIX}}/text2image/v1
Headers Type Description
API-Key str Get your API_KEY from imagepipeline.io
Content-Type str application/json - content type of the request body
Parameter Type Description
model_id str Your base model, find available lists in models page or upload your own
prompt str Text Prompt. Check our Prompt Guide for tips
num_inference_steps int [1-50] Noise is removed with each step, resulting in a higher-quality image over time. Ideal value 30-50 (without LCM)
guidance_scale float [1-20] Higher guidance scale prioritizes text prompt relevance but sacrifices image quality. Ideal value 7.5-12.5
lora_models str, array Pass the model_id(s) of LoRA models that can be found in models page
lora_weights str, array Strength of the LoRA effect

license: creativeml-openrail-m tags:

  • imagepipeline
  • imagepipeline.io
  • text-to-image
  • ultra-realistic pinned: false pipeline_tag: text-to-image

Feedback

If you have any feedback, please reach out to us at [email protected]

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Runs of imagepipeline flux-Anime on huggingface.co

36
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About flux-Anime huggingface.co Model

flux-Anime huggingface.co

flux-Anime huggingface.co is an AI model on huggingface.co that provides flux-Anime's model effect (), which can be used instantly with this imagepipeline flux-Anime model. huggingface.co supports a free trial of the flux-Anime model, and also provides paid use of the flux-Anime. Support call flux-Anime model through api, including Node.js, Python, http.

imagepipeline flux-Anime online free

flux-Anime huggingface.co is an online trial and call api platform, which integrates flux-Anime's modeling effects, including api services, and provides a free online trial of flux-Anime, you can try flux-Anime online for free by clicking the link below.

imagepipeline flux-Anime online free url in huggingface.co:

https://huggingface.co/imagepipeline/flux-Anime

flux-Anime install

flux-Anime is an open source model from GitHub that offers a free installation service, and any user can find flux-Anime on GitHub to install. At the same time, huggingface.co provides the effect of flux-Anime install, users can directly use flux-Anime installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

flux-Anime install url in huggingface.co:

https://huggingface.co/imagepipeline/flux-Anime

Url of flux-Anime

Provider of flux-Anime huggingface.co

imagepipeline
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