feature: allow loading custom model weights at command line

Addresses #40

imaginairy/api.py

@@ -50,10 +50,23 @@ class SafetyMode:
 # the press or governments to freak out about AI...
 IMAGINAIRY_SAFETY_MODE = os.getenv("IMAGINAIRY_SAFETY_MODE", SafetyMode.FILTER)
 
+DEFAULT_MODEL_WEIGHTS_LOCATION = (
+    "https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media"
+)
+
 
-def load_model_from_config(config):
-    url = "https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media"
-    ckpt_path = cached_path(url)
+def load_model_from_config(
+    config, model_weights_location=DEFAULT_MODEL_WEIGHTS_LOCATION
+):
+    model_weights_location = (
+        model_weights_location
+        if model_weights_location
+        else DEFAULT_MODEL_WEIGHTS_LOCATION
+    )
+    if model_weights_location.startswith("http"):
+        ckpt_path = cached_path(model_weights_location)
+    else:
+        ckpt_path = model_weights_location
     logger.info(f"Loading model onto {get_device()} backend...")
     logger.debug(f"Loading model from {ckpt_path}")
     pl_sd = torch.load(ckpt_path, map_location="cpu")
@@ -73,10 +86,12 @@ def load_model_from_config(config):
 
 
 @lru_cache()
-def load_model():
+def load_model(model_weights_location=None):
     config = "configs/stable-diffusion-v1.yaml"
     config = OmegaConf.load(f"{LIB_PATH}/{config}")
-    model = load_model_from_config(config)
+    model = load_model_from_config(
+        config, model_weights_location=model_weights_location
+    )
     model = model.to(get_device())
     return model
 
@@ -91,6 +106,7 @@ def imagine_image_files(
     record_step_images=False,
     output_file_extension="jpg",
     print_caption=False,
+    model_weights_path=None,
 ):
     generated_imgs_path = os.path.join(outdir, "generated")
     os.makedirs(generated_imgs_path, exist_ok=True)
@@ -118,6 +134,7 @@ def imagine_image_files(
         ddim_eta=ddim_eta,
         img_callback=_record_step if record_step_images else None,
         add_caption=print_caption,
+        model_weights_path=model_weights_path,
     ):
         prompt = result.prompt
         img_str = ""
@@ -146,8 +163,9 @@ def imagine(
     img_callback=None,
     half_mode=None,
     add_caption=False,
+    model_weights_path=None,
 ):
-    model = load_model()
+    model = load_model(model_weights_location=model_weights_path)
 
     # only run half-mode on cuda. run it by default
     half_mode = half_mode is None and get_device() == "cuda"

imaginairy/cmds.py

@@ -4,7 +4,7 @@ import click
 from click_shell import shell
 
 from imaginairy import LazyLoadingImage, generate_caption
-from imaginairy.api import imagine_image_files, load_model
+from imaginairy.api import imagine_image_files
 from imaginairy.samplers.base import SAMPLER_TYPE_OPTIONS
 from imaginairy.schema import ImaginePrompt
 from imaginairy.suppress_logs import suppress_annoying_logs_and_warnings
@@ -173,6 +173,12 @@ def configure_logging(level="INFO"):
     type=click.Choice(["full", "autocast"]),
     default="autocast",
 )
+@click.option(
+    "--model-weights-path",
+    help="path to model weights file. by default we use stable diffusion 1.4",
+    type=click.Path(exists=True),
+    default=None,
+)
 @click.pass_context
 def imagine_cmd(
     ctx,
@@ -201,6 +207,7 @@ def imagine_cmd(
     mask_modify_original,
     caption,
     precision,
+    model_weights_path,
 ):
     """Have the AI generate images. alias:imagine"""
     if ctx.invoked_subcommand is not None:
@@ -223,7 +230,6 @@ def imagine_cmd(
     if fix_faces_fidelity is not None:
         fix_faces_fidelity = float(fix_faces_fidelity)
     prompts = []
-    load_model()
     for _ in range(repeats):
         for prompt_text in prompt_texts:
             prompt = ImaginePrompt(
@@ -255,6 +261,7 @@ def imagine_cmd(
         output_file_extension="jpg",
         print_caption=caption,
         precision=precision,
+        model_weights_path=model_weights_path,
     )