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Add ControlNet model and filter to metadata (#1454)

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Olivia Godone-Maresca 2023-08-02 00:43:21 -04:00 committed by GitHub
parent 53b5ce6e2c
commit 7d496f4ad0
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1 changed files with 5 additions and 1 deletions
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6
ui/easydiffusion/utils/save_utils.py
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@ -21,6 +21,8 @@ TASK_TEXT_MAPPING = {
"seed": "Seed", "seed": "Seed",
"use_stable_diffusion_model": "Stable Diffusion model", "use_stable_diffusion_model": "Stable Diffusion model",
"clip_skip": "Clip Skip", "clip_skip": "Clip Skip",
"use_controlnet_model": "ControlNet model",
"control_filter_to_apply": "ControlNet Filter",
"use_vae_model": "VAE model", "use_vae_model": "VAE model",
"sampler_name": "Sampler", "sampler_name": "Sampler",
"width": "Width", "width": "Width",
@ -260,10 +262,12 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
del metadata["lora_alpha"] del metadata["lora_alpha"]
if task_data.use_upscale != "latent_upscaler" and "latent_upscaler_steps" in metadata: if task_data.use_upscale != "latent_upscaler" and "latent_upscaler_steps" in metadata:
del metadata["latent_upscaler_steps"] del metadata["latent_upscaler_steps"]
if task_data.use_controlnet_model is None and "control_filter_to_apply" in metadata:
del metadata["control_filter_to_apply"]
if not using_diffusers: if not using_diffusers:
for key in ( for key in (
x for x in ["use_lora_model", "lora_alpha", "clip_skip", "tiling", "latent_upscaler_steps"] if x in metadata x for x in ["use_lora_model", "lora_alpha", "clip_skip", "tiling", "latent_upscaler_steps", "use_controlnet_model", "control_filter_to_apply"] if x in metadata
): ):
del metadata[key] del metadata[key]