by stablediffusionapi
Open source · 4k downloads · 200 likes
Anything V5 is an AI model specialized in generating images from text, delivering artistic and highly detailed renderings. It excels at creating portraits, scenes, and stylized illustrations, with a keen focus on intricate details such as facial expressions, textures, and lighting ambiance. This model is particularly well-suited for artists, designers, and content creators seeking to produce unique and expressive visuals. Its strength lies in its ability to interpret complex prompts while consistently delivering aesthetically pleasing results. Unlike more generic models, Anything V5 stands out for its distinctive style and versatility across various creative fields.
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Replace Key in below code, change model_id to "anything-v5"
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Model link: View model
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import requests
import json
url = "https://stablediffusionapi.com/api/v3/dreambooth"
payload = json.dumps({
"key": "",
"model_id": "anything-v5",
"prompt": "actual 8K portrait photo of gareth person, portrait, happy colors, bright eyes, clear eyes, warm smile, smooth soft skin, big dreamy eyes, beautiful intricate colored hair, symmetrical, anime wide eyes, soft lighting, detailed face, by makoto shinkai, stanley artgerm lau, wlop, rossdraws, concept art, digital painting, looking into camera",
"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": "no",
"enhance_prompt": "yes",
"seed": None,
"guidance_scale": 7.5,
"multi_lingual": "no",
"panorama": "no",
"self_attention": "no",
"upscale": "no",
"embeddings": "embeddings_model_id",
"lora": "lora_model_id",
"webhook": None,
"track_id": None
})
headers = {
'Content-Type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
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