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slider_steps and slider_bounds in defaults config

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slider_steps and slider_bounds in defaults config
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hlky 2022-09-18 12:17:57 +01:00
parent 74fd533077
commit 6f4a1d8a41
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4 changed files with 93 additions and 54 deletions
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27
configs/webui/webui_streamlit.yaml
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@ -62,6 +62,15 @@ txt2img:
variant_amount: 0.0
variant_seed: ""
write_info_files: True
slider_steps: {
sampling: 1
}
slider_bounds: {
sampling: {
lower: 1,
upper: 150
}
}
txt2vid:
default_model: "CompVis/stable-diffusion-v1-4"
@ -97,6 +106,15 @@ txt2vid:
beta_end: 0.012
beta_scheduler_type: "linear"
max_frames: 1000
slider_steps: {
sampling: 1
}
slider_bounds: {
sampling: {
lower: 1,
upper: 150
}
}
img2img:
prompt:
@ -149,6 +167,15 @@ img2img:
variant_amount: 0.0
variant_seed: ""
write_info_files: True
slider_steps: {
sampling: 1
}
slider_bounds: {
sampling: {
lower: 1,
upper: 150
}
}
gfpgan:
strength: 100

6
scripts/img2img.py
View File

@ -383,7 +383,11 @@ def layout():
st.session_state["custom_model"] = "Stable Diffusion v1.4"
st.session_state["sampling_steps"] = st.slider("Sampling Steps", value=st.session_state['defaults'].img2img.sampling_steps, min_value=1, max_value=500)
st.session_state["sampling_steps"] = st.slider("Sampling Steps",
value=st.session_state['defaults'].img2img.sampling_steps,
min_value=st.session_state['defaults'].img2img.slider_bounds.sampling.lower,
max_value=st.session_state['defaults'].img2img.slider_bounds.sampling.upper,
step=st.session_state['defaults'].img2img.slider_steps.sampling)
sampler_name_list = ["k_lms", "k_euler", "k_euler_a", "k_dpm_2", "k_dpm_2_a", "k_heun", "PLMS", "DDIM"]
st.session_state["sampler_name"] = st.selectbox("Sampling method",sampler_name_list,

6
scripts/txt2img.py
View File

@ -217,7 +217,11 @@ def layout():
the file for the model has on said folder, it is recommended to give the .ckpt file a name that \
will make it easier for you to distinguish it from other models. Default: Stable Diffusion v1.4")
st.session_state.sampling_steps = st.slider("Sampling Steps", value=st.session_state['defaults'].txt2img.sampling_steps, min_value=10, max_value=500, step=10)
st.session_state.sampling_steps = st.slider("Sampling Steps",
value=st.session_state['defaults'].txt2img.sampling_steps,
min_value=st.session_state['defaults'].txt2img.slider_bounds.sampling.lower,
max_value=st.session_state['defaults'].txt2img.slider_bounds.sampling.upper,
step=st.session_state['defaults'].txt2img.slider_steps.sampling)
sampler_name_list = ["k_lms", "k_euler", "k_euler_a", "k_dpm_2", "k_dpm_2_a", "k_heun", "PLMS", "DDIM"]
sampler_name = st.selectbox("Sampling method", sampler_name_list,

6
scripts/txt2vid.py
View File

@ -650,7 +650,11 @@ def layout():
#custom_model = "CompVis/stable-diffusion-v1-4"
#st.session_state["weights_path"] = f"CompVis/{slugify(custom_model.lower())}"
st.session_state.sampling_steps = st.slider("Sampling Steps", value=st.session_state['defaults'].txt2vid.sampling_steps, min_value=10, step=10, max_value=500,
st.session_state.sampling_steps = st.slider("Sampling Steps",
value=st.session_state['defaults'].txt2vid.sampling_steps,
min_value=st.session_state['defaults'].txt2vid.slider_bounds.sampling.lower,
max_value=st.session_state['defaults'].txt2vid.slider_bounds.sampling.upper,
step=st.session_state['defaults'].txt2vid.slider_steps.sampling,
help="Number of steps between each pair of sampled points")
st.session_state.num_inference_steps = st.slider("Inference Steps:", value=st.session_state['defaults'].txt2vid.num_inference_steps, min_value=10,step=10, max_value=500,
help="Higher values (e.g. 100, 200 etc) can create better images.")