diff options
Diffstat (limited to 'modules/ui.py')
| -rw-r--r-- | modules/ui.py | 59 |
1 files changed, 39 insertions, 20 deletions
diff --git a/modules/ui.py b/modules/ui.py index 220fb80b..d961d126 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -24,7 +24,8 @@ import gradio.routes from modules import sd_hijack
from modules.paths import script_path
-from modules.shared import opts, cmd_opts
+from modules.shared import opts, cmd_opts,aesthetic_embeddings
+
if cmd_opts.deepdanbooru:
from modules.deepbooru import get_deepbooru_tags
import modules.shared as shared
@@ -534,6 +535,14 @@ def create_ui(wrap_gradio_gpu_call): width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)
height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)
+ with gr.Group():
+ aesthetic_lr = gr.Textbox(label='Learning rate', placeholder="Learning rate", value="0.005")
+ aesthetic_weight = gr.Slider(minimum=0, maximum=1, step=0.01, label="Aesthetic weight", value=0.7)
+ aesthetic_steps = gr.Slider(minimum=0, maximum=50, step=1, label="Aesthetic steps", value=50)
+
+ aesthetic_imgs = gr.Dropdown(sorted(aesthetic_embeddings.keys()), label="Imgs embedding", value=sorted(aesthetic_embeddings.keys())[0] if len(aesthetic_embeddings) > 0 else None)
+ aesthetic_slerp = gr.Checkbox(label="Slerp interpolation", value=False)
+
with gr.Row():
restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1)
tiling = gr.Checkbox(label='Tiling', value=False)
@@ -586,25 +595,30 @@ def create_ui(wrap_gradio_gpu_call): fn=wrap_gradio_gpu_call(modules.txt2img.txt2img),
_js="submit",
inputs=[
- txt2img_prompt,
- txt2img_negative_prompt,
- txt2img_prompt_style,
- txt2img_prompt_style2,
- steps,
- sampler_index,
- restore_faces,
- tiling,
- batch_count,
- batch_size,
- cfg_scale,
- seed,
- subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox,
- height,
- width,
- enable_hr,
- scale_latent,
- denoising_strength,
- ] + custom_inputs,
+ txt2img_prompt,
+ txt2img_negative_prompt,
+ txt2img_prompt_style,
+ txt2img_prompt_style2,
+ steps,
+ sampler_index,
+ restore_faces,
+ tiling,
+ batch_count,
+ batch_size,
+ cfg_scale,
+ seed,
+ subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox,
+ height,
+ width,
+ enable_hr,
+ scale_latent,
+ denoising_strength,
+ aesthetic_lr,
+ aesthetic_weight,
+ aesthetic_steps,
+ aesthetic_imgs,
+ aesthetic_slerp
+ ] + custom_inputs,
outputs=[
txt2img_gallery,
generation_info,
@@ -1097,6 +1111,9 @@ def create_ui(wrap_gradio_gpu_call): template_file = gr.Textbox(label='Prompt template file', value=os.path.join(script_path, "textual_inversion_templates", "style_filewords.txt"))
training_width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)
training_height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)
+ batch_size = gr.Slider(minimum=1, maximum=64, step=1, label="Batch Size", value=4)
+ gradient_accumulation = gr.Slider(minimum=1, maximum=256, step=1, label="Gradient accumulation",
+ value=1)
steps = gr.Number(label='Max steps', value=100000, precision=0)
create_image_every = gr.Number(label='Save an image to log directory every N steps, 0 to disable', value=500, precision=0)
save_embedding_every = gr.Number(label='Save a copy of embedding to log directory every N steps, 0 to disable', value=500, precision=0)
@@ -1180,6 +1197,8 @@ def create_ui(wrap_gradio_gpu_call): template_file,
save_image_with_stored_embedding,
preview_image_prompt,
+ batch_size,
+ gradient_accumulation
],
outputs=[
ti_output,
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