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Added conda-forge channel to environment.yaml to make it so nodejs and yarn can be installed with it as part of the environment for the UI. (#1655)
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commit
94abf30e99
@ -27,6 +27,7 @@ general:
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gpu: 0
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gpu: 0
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outdir: outputs
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outdir: outputs
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default_model: "Stable Diffusion v1.5"
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default_model: "Stable Diffusion v1.5"
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base_model: "Stable Diffusion v1.5"
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default_model_config: "configs/stable-diffusion/v1-inference.yaml"
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default_model_config: "configs/stable-diffusion/v1-inference.yaml"
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default_model_path: "models/ldm/stable-diffusion-v1/Stable Diffusion v1.5.ckpt"
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default_model_path: "models/ldm/stable-diffusion-v1/Stable Diffusion v1.5.ckpt"
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use_sd_concepts_library: True
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use_sd_concepts_library: True
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@ -15,6 +15,7 @@ name: ldm
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# You should have received a copy of the GNU Affero General Public License
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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channels:
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channels:
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- conda-forge
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- pytorch
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- pytorch
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- defaults
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- defaults
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- nvidia
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- nvidia
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@ -1502,7 +1502,7 @@ def load_sd_model(model_name: str):
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"""Loads Stable Diffusion model by name"""
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"""Loads Stable Diffusion model by name"""
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ckpt_path = st.session_state.defaults.general.default_model_path
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ckpt_path = st.session_state.defaults.general.default_model_path
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if model_name != st.session_state.defaults.general.default_model:
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if model_name != st.session_state.defaults.general.base_model:
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ckpt_path = os.path.join("models", "custom", f"{model_name}.ckpt")
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ckpt_path = os.path.join("models", "custom", f"{model_name}.ckpt")
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if st.session_state.defaults.general.optimized:
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if st.session_state.defaults.general.optimized:
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