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from __future__ import annotations
from aiohttp import ClientSession
import json
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ...image import ImageResponse
class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Prodia AI"
url = "https://nexra.aryahcr.cc/documentation/prodia/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
default_model = 'absolutereality_v181.safetensors [3d9d4d2b]'
models = [
'3Guofeng3_v34.safetensors [50f420de]',
'absolutereality_V16.safetensors [37db0fc3]',
default_model,
'amIReal_V41.safetensors [0a8a2e61]',
'analog-diffusion-1.0.ckpt [9ca13f02]',
'aniverse_v30.safetensors [579e6f85]',
'anythingv3_0-pruned.ckpt [2700c435]',
'anything-v4.5-pruned.ckpt [65745d25]',
'anythingV5_PrtRE.safetensors [893e49b9]',
'AOM3A3_orangemixs.safetensors [9600da17]',
'blazing_drive_v10g.safetensors [ca1c1eab]',
'breakdomain_I2428.safetensors [43cc7d2f]',
'breakdomain_M2150.safetensors [15f7afca]',
'cetusMix_Version35.safetensors [de2f2560]',
'childrensStories_v13D.safetensors [9dfaabcb]',
'childrensStories_v1SemiReal.safetensors [a1c56dbb]',
'childrensStories_v1ToonAnime.safetensors [2ec7b88b]',
'Counterfeit_v30.safetensors [9e2a8f19]',
'cuteyukimixAdorable_midchapter3.safetensors [04bdffe6]',
'cyberrealistic_v33.safetensors [82b0d085]',
'dalcefo_v4.safetensors [425952fe]',
'deliberate_v2.safetensors [10ec4b29]',
'deliberate_v3.safetensors [afd9d2d4]',
'dreamlike-anime-1.0.safetensors [4520e090]',
'dreamlike-diffusion-1.0.safetensors [5c9fd6e0]',
'dreamlike-photoreal-2.0.safetensors [fdcf65e7]',
'dreamshaper_6BakedVae.safetensors [114c8abb]',
'dreamshaper_7.safetensors [5cf5ae06]',
'dreamshaper_8.safetensors [9d40847d]',
'edgeOfRealism_eorV20.safetensors [3ed5de15]',
'EimisAnimeDiffusion_V1.ckpt [4f828a15]',
'elldreths-vivid-mix.safetensors [342d9d26]',
'epicphotogasm_xPlusPlus.safetensors [1a8f6d35]',
'epicrealism_naturalSinRC1VAE.safetensors [90a4c676]',
'epicrealism_pureEvolutionV3.safetensors [42c8440c]',
'ICantBelieveItsNotPhotography_seco.safetensors [4e7a3dfd]',
'indigoFurryMix_v75Hybrid.safetensors [91208cbb]',
'juggernaut_aftermath.safetensors [5e20c455]',
'lofi_v4.safetensors [ccc204d6]',
'lyriel_v16.safetensors [68fceea2]',
'majicmixRealistic_v4.safetensors [29d0de58]',
'mechamix_v10.safetensors [ee685731]',
'meinamix_meinaV9.safetensors [2ec66ab0]',
'meinamix_meinaV11.safetensors [b56ce717]',
'neverendingDream_v122.safetensors [f964ceeb]',
'openjourney_V4.ckpt [ca2f377f]',
'pastelMixStylizedAnime_pruned_fp16.safetensors [793a26e8]',
'portraitplus_V1.0.safetensors [1400e684]',
'protogenx34.safetensors [5896f8d5]',
'Realistic_Vision_V1.4-pruned-fp16.safetensors [8d21810b]',
'Realistic_Vision_V2.0.safetensors [79587710]',
'Realistic_Vision_V4.0.safetensors [29a7afaa]',
'Realistic_Vision_V5.0.safetensors [614d1063]',
'Realistic_Vision_V5.1.safetensors [a0f13c83]',
'redshift_diffusion-V10.safetensors [1400e684]',
'revAnimated_v122.safetensors [3f4fefd9]',
'rundiffusionFX25D_v10.safetensors [cd12b0ee]',
'rundiffusionFX_v10.safetensors [cd4e694d]',
'sdv1_4.ckpt [7460a6fa]',
'v1-5-pruned-emaonly.safetensors [d7049739]',
'v1-5-inpainting.safetensors [21c7ab71]',
'shoninsBeautiful_v10.safetensors [25d8c546]',
'theallys-mix-ii-churned.safetensors [5d9225a4]',
'timeless-1.0.ckpt [7c4971d4]',
'toonyou_beta6.safetensors [980f6b15]',
]
model_aliases = {
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model in cls.model_aliases:
return cls.model_aliases[model]
else:
return cls.default_model
@classmethod
async def create_async_generator(
cls,
model: str, # Select from the list of models
messages: Messages,
proxy: str = None,
response: str = "url", # base64 or url
steps: str = 25, # Min: 1, Max: 30
cfg_scale: str = 7, # Min: 0, Max: 20
sampler: str = "DPM++ 2M Karras", # Select from these: "Euler","Euler a","Heun","DPM++ 2M Karras","DPM++ SDE Karras","DDIM"
negative_prompt: str = "", # Indicates what the AI should not do
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"Content-Type": "application/json"
}
async with ClientSession(headers=headers) as session:
prompt = messages[0]['content']
data = {
"prompt": prompt,
"model": "prodia",
"response": response,
"data": {
"model": model,
"steps": steps,
"cfg_scale": cfg_scale,
"sampler": sampler,
"negative_prompt": negative_prompt
}
}
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
text_data = await response.text()
if response.status == 200:
try:
json_start = text_data.find('{')
json_data = text_data[json_start:]
data = json.loads(json_data)
if 'images' in data and len(data['images']) > 0:
image_url = data['images'][-1]
yield ImageResponse(image_url, prompt)
else:
yield ImageResponse("No images found in the response.", prompt)
except json.JSONDecodeError:
yield ImageResponse("Failed to parse JSON. Response might not be in JSON format.", prompt)
else:
yield ImageResponse(f"Request failed with status: {response.status}", prompt)
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