add ability to specify location of config file (models.yaml)

configs/models.yaml

@@ -0,0 +1,18 @@
+# This file describes the alternative machine learning models
+#  available to the dream script.
+#
+# To add a new model, follow the examples below. Each
+# model requires a model config file, a weights file,
+# and the width and height of the images it
+# was trained on.
+
+laion400m:
+    config:  configs/latent-diffusion/txt2img-1p4B-eval.yaml
+    weights: models/ldm/text2img-large/model.ckpt
+    width: 256
+    height: 256
+stable-diffusion-1.4:
+    config:  configs/stable-diffusion/v1-inference.yaml
+    weights: models/ldm/stable-diffusion-v1/model.ckpt
+    width: 512
+    height: 512

scripts/dream.py

@@ -9,31 +9,34 @@ import sys
 import copy
 import warnings
 import time
-from ldm.dream.devices import choose_torch_device
 import ldm.dream.readline
 from ldm.dream.pngwriter import PngWriter, PromptFormatter
 from ldm.dream.server import DreamServer, ThreadingDreamServer
 from ldm.dream.image_util import make_grid
+from omegaconf import OmegaConf
 
 def main():
     """Initialize command-line parsers and the diffusion model"""
     arg_parser = create_argv_parser()
     opt = arg_parser.parse_args()
+    
     if opt.laion400m:
-        # defaults suitable to the older latent diffusion weights
+        print('--laion400m flag has been deprecated. Please use --model laion400m instead.')
-        width = 256
+        sys.exit(-1)
-        height = 256
+    if opt.weights != 'model':
-        config = 'configs/latent-diffusion/txt2img-1p4B-eval.yaml'
+        print('--weights argument has been deprecated. Please configure ./configs/models.yaml, and call it using --model instead.')
-        weights = 'models/ldm/text2img-large/model.ckpt'
+        sys.exit(-1)
-    else:
+        
-        # some defaults suitable for stable diffusion weights
+    try:
-        width = 512
+        print(f'attempting to load {opt.config}')
-        height = 512
+        models  = OmegaConf.load(opt.config)
-        config = 'configs/stable-diffusion/v1-inference.yaml'
+        width   = models[opt.model].width
-        if '.ckpt' in opt.weights:
+        height  = models[opt.model].height
-            weights = opt.weights
+        config  = models[opt.model].config
-        else:
+        weights = models[opt.model].weights
-            weights = f'models/ldm/stable-diffusion-v1/{opt.weights}.ckpt'
+    except (FileNotFoundError, IOError, KeyError) as e:
+        print(f'{e}. Aborting.')
+        sys.exit(-1)
 
     print('* Initializing, be patient...\n')
     sys.path.append('.')
@@ -348,8 +351,6 @@ def create_argv_parser():
         dest='full_precision',
         action='store_true',
         help='Use slower full precision math for calculations',
-        # MPS only functions with full precision, see https://github.com/lstein/stable-diffusion/issues/237
-        default=choose_torch_device() == 'mps',
     )
     parser.add_argument(
         '-g',
@@ -429,6 +430,16 @@ def create_argv_parser():
         default='cuda',
         help="device to run stable diffusion on. defaults to cuda `torch.cuda.current_device()` if available"
     )
+    parser.add_argument(
+        '--model',
+        default='stable-diffusion-1.4',
+        help='Indicates which diffusion model to load. (currently "stable-diffusion-1.4" (default) or "laion400m")',
+    )
+    parser.add_argument(
+        '--config',
+        default ='configs/models.yaml',
+        help    ='Path to configuration file for alternate models.',
+    )
     return parser