fix: image gen
black-action / runner / black formatter (push) Failing after 8s
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black-action / runner / black formatter (push) Failing after 8s
Details
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54ef8641fc
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9362ec4563
GPG Key ID:
910B287304120902
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@ -3,6 +3,8 @@ import os
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import sys
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from baichat_py import Completion
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import traceback
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PREFIX = "!"
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USERNAME = os.environ.get("MATRIX_USERNAME", "ai")
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@ -542,14 +544,15 @@ def validate_cfg(cfg: float) -> str:
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class AsyncImagine:
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"""Async class for handling API requests to the Imagine service."""
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HEADERS = {"accept": "*/*", "user-agent": "okhttp/4.10.0"}
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HEADERS = {
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"accept": "*/*",
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"user-agent": "okhttp/4.10.0"
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}
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def __init__(self):
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self.asset = "https://1966211409.rsc.cdn77.org"
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self.api = "https://inferenceengine.vyro.ai"
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self.session = aiohttp.ClientSession(
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raise_for_status=True, headers=self.HEADERS
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)
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self.session = aiohttp.ClientSession(raise_for_status=True, headers=self.HEADERS)
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self.version = "1"
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async def close(self) -> None:
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@ -568,149 +571,91 @@ class AsyncImagine:
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async def assets(self, style: Style = Style.IMAGINE_V1) -> bytes:
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"""Gets the assets."""
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async with self.session.get(url=self.get_style_url(style=style)) as resp:
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return await resp.read()
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async def variate(
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self, image: bytes, prompt: str, style: Style = Style.IMAGINE_V1
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) -> bytes:
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async with self.session.post(
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url=f"{self.api}/variate",
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data={
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"model_version": self.version,
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"prompt": prompt + (style.value[3] or ""),
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"strength": "0",
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"style_id": str(style.value[0]),
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"image": self.bytes_to_io(image, "image.png"),
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},
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async with self.session.get(
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url=self.get_style_url(style=style)
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) as resp:
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return await resp.read()
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async def sdprem(
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self,
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prompt: str,
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negative: str = None,
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priority: str = None,
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steps: str = None,
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high_res_results: str = None,
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style: Style = Style.IMAGINE_V1,
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seed: str = None,
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ratio: Ratio = Ratio.RATIO_1X1,
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cfg: float = 9.5,
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) -> bytes:
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async def sdprem(self, prompt: str, negative: str | bool = None, priority: str = None, steps: str = None,
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high_res_results: str = None, style: Style = Style.IMAGINE_V1, seed: str = None,
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ratio: Ratio = Ratio.RATIO_1X1, cfg: float = 9.5) -> bytes | None:
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"""Generates AI Art."""
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try:
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validated_cfg = validate_cfg(cfg)
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except Exception as e:
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print(f"An error occurred while validating cfg: {e}")
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traceback.print_exc() # Print the full traceback for detailed debugging
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return None
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try:
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async with self.session.post(
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url=f"{self.api}/sdprem",
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data={
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"model_version": self.version,
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"prompt": prompt + (style.value[3] or ""),
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"negative_prompt": negative or "",
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"style_id": style.value[0],
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"width": ratio.value[0],
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"height": ratio.value[1],
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"seed": seed or "",
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"steps": steps or "30",
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"cfg": validated_cfg,
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"priority": priority or "0",
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"high_res_results": high_res_results or "0",
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},
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) as resp:
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return await resp.read()
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except Exception as e:
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print(f"An error occurred while making the request: {e}")
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return None
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for attempt in range(2):
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try:
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async with self.session.post(
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url=f"{self.api}/sdprem",
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data={
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"model_version": self.version,
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"prompt": prompt + (style.value[3] or ""),
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"negative_prompt": negative or "ugly, disfigured, low quality, blurry, nsfw",
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"style_id": style.value[0],
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"width": ratio.value[0],
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"height": ratio.value[1],
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"seed": seed or "",
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"steps": steps or "30",
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"cfg": validated_cfg,
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"priority": priority or "0",
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"high_res_results": high_res_results or "0"
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}
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) as resp:
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return await resp.read()
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except Exception as e:
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print(f"An error occurred while making the request: {e}")
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traceback.print_exc() # Print the full traceback for detailed debugging
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if attempt == 0:
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await asyncio.sleep(0.4)
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print("Retrying....")
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else:
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return None
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async def upscale(self, image: bytes) -> bytes:
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async def upscale(self, image: bytes) -> bytes | None:
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"""Upscales the image."""
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try:
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async with self.session.post(
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url=f"{self.api}/upscale",
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data={
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"model_version": self.version,
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"image": self.bytes_to_io(image, "test.png"),
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},
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url=f"{self.api}/upscale",
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data={
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"model_version": self.version,
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"image": self.bytes_to_io(image, "test.png")
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}
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) as resp:
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return await resp.read()
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except Exception as e:
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print(f"An error occurred while making the request: {e}")
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return None
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async def translate(self, prompt: str) -> str:
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"""Translates the prompt."""
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async with self.session.post(
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url=f"{self.api}/translate",
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data={"q": prompt, "source": detect(prompt), "target": "en"},
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) as resp:
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return (await resp.json())["translatedText"]
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async def interrogator(self, image: bytes) -> str:
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"""Generates a prompt."""
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async with self.session.post(
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url=f"{self.api}/interrogator",
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data={
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"model_version": str(self.version),
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"image": self.bytes_to_io(image, "prompt_generator_temp.png"),
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},
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url=f"{self.api}/interrogator",
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data={
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"model_version": str(self.version),
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"image": self.bytes_to_io(image, "prompt_generator_temp.png")
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}
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) as resp:
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return await resp.text()
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async def sdimg(
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self,
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image: bytes,
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prompt: str,
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negative: str = None,
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seed: str = None,
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cfg: float = 9.5,
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) -> bytes:
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async def sdimg(self, image: bytes, prompt: str, negative: str = None, seed: str = None, cfg: float = 9.5) -> bytes:
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"""Performs inpainting."""
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async with self.session.post(
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url=f"{self.api}/sdimg",
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data={
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"model_version": self.version,
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"prompt": prompt,
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"negative_prompt": negative or "",
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"seed": seed or "",
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"cfg": validate_cfg(cfg),
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"image": self.bytes_to_io(image, "image.png"),
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},
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url=f"{self.api}/sdimg",
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data={
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"model_version": self.version,
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"prompt": prompt,
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"negative_prompt": negative or "",
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"seed": seed or "",
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"cfg": validate_cfg(cfg),
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"image": self.bytes_to_io(image, "image.png")
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}
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) as resp:
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return await resp.read()
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async def controlnet(
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self,
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image: bytes,
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prompt: str,
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negative: str = None,
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cfg: float = 9.5,
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control: Control = Control.SCRIBBLE,
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style: Style = Style.IMAGINE_V1,
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seed: str = None,
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) -> bytes:
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"""Performs image remix."""
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async with self.session.post(
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url=f"{self.api}/controlnet",
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data={
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"model_version": self.version,
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"prompt": prompt + (style.value[3] or ""),
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"negative_prompt": negative or "",
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"strength": "0",
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"cfg": validate_cfg(cfg),
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"control": control.value,
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"style_id": str(style.value[0]),
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"seed": seed or "",
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"image": self.bytes_to_io(image, "image.png"),
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},
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) as resp:
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return await resp.read()
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def run():
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if not USERNAME or not SERVER or not PASSWORD:
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print(
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@ -777,17 +722,12 @@ def run():
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else:
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prompt += arg + " "
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async def generate_image(
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image_prompt, style_value, ratio_value, negative
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):
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async def generate_image(image_prompt, style_value, ratio_value, negative, upscale):
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if negative is None:
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negative = False
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imagine = AsyncImagine()
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filename = str(uuid.uuid4()) + ".png"
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try:
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style_enum = Style[style_value]
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ratio_enum = Ratio[ratio_value]
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except KeyError:
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style_enum = Style.IMAGINE_V3
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ratio_enum = Ratio.RATIO_1X1
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style_enum = Style[style_value]
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ratio_enum = Ratio[ratio_value]
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img_data = await imagine.sdprem(
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prompt=image_prompt,
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style=style_enum,
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@ -795,21 +735,23 @@ def run():
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priority="1",
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high_res_results="1",
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steps="70",
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negative=negative,
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negative=negative
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)
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if upscale:
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img_data = await imagine.upscale(image=img_data)
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try:
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with open(filename, mode="wb") as img_file:
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img_file.write(img_data)
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img_file = io.BytesIO(img_data)
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except Exception as e:
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print(f"An error occurred while writing the image to file: {e}")
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print(
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f"An error occurred while creating the in-memory image file: {e}")
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return None
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await imagine.close()
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return img_file
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return filename
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filename = await generate_image(prompt, style, ratio, negative)
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filename = await generate_image(prompt, style, ratio, negative, upscale=False)
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await bot.api.send_image_message(
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room_id=room.room_id, image_filepath=filename
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