(fn)

(models)

(questions)

( self, euler_step, x, d, dt, next_sigma, denoiser, cond, uc )

(self, c_noise)

(self, sigma)

(self, x, s, c, uc)

(self, x, s, c, uc)

(self: BloomForCausalLM, input_ids: torch.LongTensor, past: Optional[torch.Tensor]=None, attention_mask: Optio

( self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs )

(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs)

(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs)

(self, x, cond, uc=None, num_steps=None)

(seed, shape)

(shape)

(request: Request)

()

(state, image_process_mode, request: gr.Request)

(module, name, buffer)

(module, name, param)

(request: Request)

(fn=None)

(self)

(self)

(self, sigma, next_sigma, denoiser, x, cond, uc, *args, **kwargs)

(self, sigma, next_sigma, denoiser, x, cond, uc)

(self, sigma, next_sigma, denoiser, x, cond, uc=None, **kwargs)

(query, key, value, n_heads, past_key_value=None, softmax_scale=None, attn_bias=None, key_padding_mask=None, i

(self, n, **kwargs)

(self, decoder)

(self, value)

(self, value)

(self, new_embeddings)

(self, upscale_factor)

(input_image, gamma_correction)

(input_image, gamma_correction)

(input_image, gamma_correction)

(input_image, prompt, a_prompt, n_prompt, num_samples, upscale, edm_steps, s_stage1, s_stage2,

(input_image, prompt, a_prompt, n_prompt, num_samples, upscale, edm_steps, s_stage1, s_stage2,

(input_image, prompt, a_prompt, n_prompt, num_samples, upscale, edm_steps, s_stage1, s_stage2,

(self)

(event_id, fb_score, fb_text)

(event_id, fb_score, fb_text)

(event_id, fb_score, fb_text)

(x, where)

(denoised, x_center, x)

(module: nn.Module, verbose: int=0, **kwargs)

()

(self, batch, batch_idx)

(self, batch, batch_idx, optimizer_idx)

(s: str, n: int)

(query, key, value, n_heads, past_key_value=None, softmax_scale=None, attn_bias=None, key_padding_mask=None, i

(self)

(arr)

(state, model_selector, request: gr.Request)

(self, batch, batch_idx)

(logits_real, logits_fake)

(target: Image, source: Image)

(m)

(disable=False)

(request: Request)

(request: Request)

(*args, **kwargs)

(*args, **kwargs)

(module: nn.Module, n_layers: int, d_model: Optional[int]=None, init_div_is_residual: Union[int, float, str, b

(module: nn.Module, n_layers: int, d_model: Optional[int]=None, init_div_is_residual: Union[int, float, str, b