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from __future__ import annotations |
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import json |
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from aiohttp import ClientSession |
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from ...typing import AsyncResult, Messages |
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from ...providers.response import ImageResponse, ImagePreview |
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from ...image import use_aspect_ratio |
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from ...errors import ResponseError |
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from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin |
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from ..helper import format_media_prompt |
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class StabilityAI_SD35Large(AsyncGeneratorProvider, ProviderModelMixin): |
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label = "StabilityAI SD-3.5-Large" |
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url = "https://stabilityai-stable-diffusion-3-5-large.hf.space" |
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api_endpoint = "/gradio_api/call/infer" |
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working = True |
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default_model = 'stabilityai-stable-diffusion-3-5-large' |
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default_image_model = default_model |
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model_aliases = {"sd-3.5-large": default_model} |
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image_models = list(model_aliases.keys()) |
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models = image_models |
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@classmethod |
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async def create_async_generator( |
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cls, model: str, messages: Messages, |
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prompt: str = None, |
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negative_prompt: str = None, |
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api_key: str = None, |
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proxy: str = None, |
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aspect_ratio: str = "1:1", |
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width: int = None, |
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height: int = None, |
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guidance_scale: float = 4.5, |
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num_inference_steps: int = 50, |
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seed: int = 0, |
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randomize_seed: bool = True, |
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**kwargs |
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) -> AsyncResult: |
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headers = { |
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"Content-Type": "application/json", |
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"Accept": "application/json", |
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} |
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if api_key is not None: |
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headers["Authorization"] = f"Bearer {api_key}" |
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async with ClientSession(headers=headers) as session: |
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prompt = format_media_prompt(messages, prompt) |
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data = use_aspect_ratio({"width": width, "height": height}, aspect_ratio) |
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data = { |
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"data": [prompt, negative_prompt, seed, randomize_seed, data.get("width"), data.get("height"), guidance_scale, num_inference_steps] |
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} |
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async with session.post(f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy) as response: |
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response.raise_for_status() |
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event_id = (await response.json()).get("event_id") |
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async with session.get(f"{cls.url}{cls.api_endpoint}/{event_id}") as event_response: |
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event_response.raise_for_status() |
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event = None |
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async for chunk in event_response.content: |
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if chunk.startswith(b"event: "): |
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event = chunk[7:].decode(errors="replace").strip() |
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if chunk.startswith(b"data: "): |
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if event == "error": |
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raise ResponseError(f"GPU token limit exceeded: {chunk.decode(errors='replace')}") |
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if event in ("complete", "generating"): |
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try: |
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data = json.loads(chunk[6:]) |
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if data is None: |
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continue |
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url = data[0]["url"] |
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except (json.JSONDecodeError, KeyError, TypeError) as e: |
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raise RuntimeError(f"Failed to parse image URL: {chunk.decode(errors='replace')}", e) |
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if event == "generating": |
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yield ImagePreview(url, prompt) |
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else: |
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yield ImageResponse(url, prompt) |
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break |
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