Prepares the model for inference. Parameters ---------- prompt : str The prompt to generate images from. num_inference_steps : int, optional The number of inference steps to perform, by default 50. guidance_scale : float, opti
(
self,
prompt: str,
negative_prompt: str = "",
num_inference_steps: int = 50,
guidance_scale: float = 1.2,
delta: float = 1.0,
)
| 174 | self.stream.enable_similar_image_filter(similar_image_filter_threshold, similar_image_filter_max_skip_frame) |
| 175 | |
| 176 | def prepare( |
| 177 | self, |
| 178 | prompt: str, |
| 179 | negative_prompt: str = "", |
| 180 | num_inference_steps: int = 50, |
| 181 | guidance_scale: float = 1.2, |
| 182 | delta: float = 1.0, |
| 183 | ) -> None: |
| 184 | """ |
| 185 | Prepares the model for inference. |
| 186 | |
| 187 | Parameters |
| 188 | ---------- |
| 189 | prompt : str |
| 190 | The prompt to generate images from. |
| 191 | num_inference_steps : int, optional |
| 192 | The number of inference steps to perform, by default 50. |
| 193 | guidance_scale : float, optional |
| 194 | The guidance scale to use, by default 1.2. |
| 195 | delta : float, optional |
| 196 | The delta multiplier of virtual residual noise, |
| 197 | by default 1.0. |
| 198 | """ |
| 199 | self.stream.prepare( |
| 200 | prompt, |
| 201 | negative_prompt, |
| 202 | num_inference_steps=num_inference_steps, |
| 203 | guidance_scale=guidance_scale, |
| 204 | delta=delta, |
| 205 | ) |
| 206 | |
| 207 | def __call__( |
| 208 | self, |
no outgoing calls
no test coverage detected