How to generate txt2img-hires?

[maybespike]

i tried this but not work
'params': {
'prompt': "my prompt",
'negativePrompt': 'neg',
"scheduler": 'DPM2MKarras',
"steps": 40,
"cfgScale": 5.0,
"width": 832,
"height": 1216,
"clipSkip": 2,
'nsfw': True,
'quantity': 1,
'workflow': 'txt2img-hires',
'denoise': 0.6,
},

[p00ler]

Fork SDK and rewrite Pydantic validation (schemas/init.py) like this:

from pydantic import BaseModel, Field, validator, Extra
from typing import Optional, List, Dict, Any


class ControlNetSchema(BaseModel):
    preprocessor: Optional[str]
    weight: Optional[float]
    startStep: Optional[int]
    endStep: Optional[int]
    blobKey: Optional[str] = None
    imageUrl: Optional[str] = None

    @validator('preprocessor')
    def preprocessor_validator(cls, v):
        if v and v not in ["Canny", "DepthZoe", "SoftedgePidinet", "Rembg"]:
            raise ValueError("Invalid preprocessor value")
        return v


class FromTextSchema(BaseModel):
    model: str
    params: Dict[str, Any] = Field(..., example={"prompt": "A clear day"})
    additionalNetworks: Optional[Dict[str, Any]] = None
    controlNets: Optional[List[ControlNetSchema]] = None
    callbackUrl: Optional[str] = None
    quantity: Optional[int] = 1
    properties: Optional[Dict[str, Any]] = None

    @validator('params')
    def params_validator(cls, v):
        if 'width' in v and not (1 <= v['width'] <= 1286):
            raise ValueError("Width must be between 1 and 1286")
        if 'height' in v and not (1 <= v['height'] <= 1286):
            raise ValueError("Height must be between 1 and 1286")
        return v

    class Config:
        # prevent any extra fields not defined in the schema (acts in .strict() in zod)
        extra = Extra.forbid

[maybespike]

Fork SDK and rewrite Pydantic validation (schemas/init.py) like this:

from pydantic import BaseModel, Field, validator, Extra
from typing import Optional, List, Dict, Any


class ControlNetSchema(BaseModel):
    preprocessor: Optional[str]
    weight: Optional[float]
    startStep: Optional[int]
    endStep: Optional[int]
    blobKey: Optional[str] = None
    imageUrl: Optional[str] = None

    @validator('preprocessor')
    def preprocessor_validator(cls, v):
        if v and v not in ["Canny", "DepthZoe", "SoftedgePidinet", "Rembg"]:
            raise ValueError("Invalid preprocessor value")
        return v


class FromTextSchema(BaseModel):
    model: str
    params: Dict[str, Any] = Field(..., example={"prompt": "A clear day"})
    additionalNetworks: Optional[Dict[str, Any]] = None
    controlNets: Optional[List[ControlNetSchema]] = None
    callbackUrl: Optional[str] = None
    quantity: Optional[int] = 1
    properties: Optional[Dict[str, Any]] = None

    @validator('params')
    def params_validator(cls, v):
        if 'width' in v and not (1 <= v['width'] <= 1286):
            raise ValueError("Width must be between 1 and 1286")
        if 'height' in v and not (1 <= v['height'] <= 1286):
            raise ValueError("Height must be between 1 and 1286")
        return v

    class Config:
        # prevent any extra fields not defined in the schema (acts in .strict() in zod)
        extra = Extra.forbid

The problem is that setting "workflow": "txt2img-hires" has no effect—whether I include that workflow or omit it, the final image output is identical.

[p00ler]

если тебе актуально, можешь ТГ свой скинуть, там обсудим

[maybespike]

если тебе актуально, можешь ТГ свой скинуть, там обсудим

https://t.me/k1kdown буду рад