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github.com/bytedance/StyleSSP
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Functions
440 in github.com/bytedance/StyleSSP
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Functions
440
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Types & classes
84
Method
guidance_rescale
(self)
pipeline_controlnet_sd_xl_img2img.py:940
Method
guidance_rescale
(self)
ip_adapter/pipeline_stable_diffusion_sdxl_extra_cfg.py:802
Method
guidance_rescale
(self)
ip_adapter/pipeline_stable_diffusion_extra_cfg.py:749
Method
guidance_scale
(self)
pipeline_controlnet_inpaint_sd_xl.py:1310
Method
guidance_scale
(self)
pipeline_controlnet_sd_xl_img2img_plus.py:1131
Method
guidance_scale
(self)
pipeline_controlnet_sd_xl_img2img.py:936
Method
guidance_scale
(self)
ip_adapter/pipeline_stable_diffusion_sdxl_extra_cfg.py:798
Method
guidance_scale
(self)
ip_adapter/pipeline_stable_diffusion_sd3_extra_cfg.py:656
Method
guidance_scale
(self)
ip_adapter/pipeline_stable_diffusion_extra_cfg.py:745
Method
inf_step
( self, latents: Optional[torch.Tensor] = None, get_grad_guidance: Optional[bool] = Fa
pipeline_controlnet_sd_xl_img2img.py:975
Method
init_proj
(self)
ip_adapter/ip_adapter_instruct.py:283
Method
init_proj
(self)
ip_adapter/ip_adapter.py:295
Method
init_proj
(self)
ip_adapter/ip_adapter.py:326
Method
init_proj
(self)
ip_adapter/ip_adapter.py:337
Method
interrupt
(self)
pipeline_controlnet_sd_xl_img2img.py:971
Method
interrupt
(self)
ip_adapter/pipeline_stable_diffusion_sdxl_extra_cfg.py:829
Method
interrupt
(self)
ip_adapter/pipeline_stable_diffusion_sd3_extra_cfg.py:679
Method
interrupt
(self)
ip_adapter/pipeline_stable_diffusion_extra_cfg.py:772
Method
inv_step
Predict the sample from the previous timestep by reversing the SDE. This function propagates the diffusion process from the learned m
src/schedulers/euler_scheduler.py:281
Method
inv_step
Predict the sample from the previous timestep by reversing the SDE. This function propagates the diffusion process from the learned m
src/schedulers/ddim_scheduler.py:29
Method
joint_attention_kwargs
(self)
ip_adapter/pipeline_stable_diffusion_sd3_extra_cfg.py:671
Method
loss_from_feat
(self, input_feats, target_feats)
src/evaluate/image_metrics.py:170
Method
loss_from_feat
(self, input_feats, target_feats)
evaluation/image_metrics.py:170
Function
masked_mean
(t, *, dim, mask=None)
ip_adapter/resampler_Instruct.py:365
Method
num_timesteps
(self)
pipeline_controlnet_inpaint_sd_xl.py:1330
Method
num_timesteps
(self)
pipeline_controlnet_sd_xl_img2img_plus.py:1150
Method
num_timesteps
(self)
pipeline_controlnet_sd_xl_img2img.py:967
Method
num_timesteps
(self)
ip_adapter/pipeline_stable_diffusion_sdxl_extra_cfg.py:825
Method
num_timesteps
(self)
ip_adapter/pipeline_stable_diffusion_sd3_extra_cfg.py:675
Method
num_timesteps
(self)
ip_adapter/pipeline_stable_diffusion_extra_cfg.py:768
Function
org_freq_mix_3d
Noise reinitialization. Args: x: diffused latent noise: randomly sampled noise LPF: low pass filter
src/frequency_utils.py:163
Method
prepare_ip_adapter_image_embeds
( self, ip_adapter_image, ip_adapter_image_embeds, device, num_images_per_prompt, do_classifier_free_g
ip_adapter/pipeline_stable_diffusion_extra_cfg.py:529
Function
print_results
(results)
src/metrics/metric_util.py:63
Function
read_images_in_path
(path, size = (512,512))
src/utils/images_utils.py:8
Function
register_cross_attention_hook
(unet)
ip_adapter/utils.py:18
Function
resize_img
(input_image, max_side=1280, min_side=1024, size=None, pad_to_max_side=False, mode=Image.BILIN
infer_style.py:87
Method
set_noise_list
(self, noise_list)
src/schedulers/euler_scheduler.py:27
Function
slerp_tensor
(val, low, high)
src/utils/images_utils.py:90
Function
spherical_dist_loss
(x, y)
pipeline_controlnet_inpaint_sd_xl.py:76
Method
step
Predict the sample from the previous timestep by reversing the SDE. This function propagates the diffusion process from the learned m
src/schedulers/euler_scheduler.py:59
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