Merge branch 'v2.3' into enhance/simple-param-scanner-script

ldm/invoke/CLI.py

@@ -746,8 +746,8 @@ def convert_model(model_name_or_path: Union[Path, str], gen, opt, completer):
         except KeyboardInterrupt:
             return
 
-    manager.commit(opt.conf)    
-    if click.confirm(f"Delete the original .ckpt file at {ckpt_path}?", default=False):
+    manager.commit(opt.conf)
+    if ckpt_path and click.confirm(f"Delete the original .ckpt file at {ckpt_path}?", default=False):
         ckpt_path.unlink(missing_ok=True)
         print(f"{ckpt_path} deleted")
 

ldm/invoke/conditioning.py

@@ -9,7 +9,7 @@ get_uc_and_c_and_ec()           get the conditioned and unconditioned latent, an
 import re
 from typing import Union, Optional, Any
 
-from transformers import CLIPTokenizer, CLIPTextModel
+from transformers import CLIPTokenizer
 
 from compel import Compel
 from compel.prompt_parser import FlattenedPrompt, Blend, Fragment, CrossAttentionControlSubstitute, PromptParser
@@ -52,6 +52,8 @@ def get_uc_and_c_and_ec(prompt_string, model, log_tokens=False, skip_normalize_l
                     textual_inversion_manager=model.textual_inversion_manager,
                     dtype_for_device_getter=torch_dtype)
 
+    # get rid of any newline characters
+    prompt_string = prompt_string.replace("\n", " ")
     positive_prompt_string, negative_prompt_string = split_prompt_to_positive_and_negative(prompt_string)
     legacy_blend = try_parse_legacy_blend(positive_prompt_string, skip_normalize_legacy_blend)
     positive_prompt: FlattenedPrompt|Blend
@@ -113,7 +115,7 @@ def get_tokens_for_prompt_object(tokenizer, parsed_prompt: FlattenedPrompt, trun
     return tokens
 
 
-def split_prompt_to_positive_and_negative(prompt_string_uncleaned):
+def split_prompt_to_positive_and_negative(prompt_string_uncleaned: str):
     unconditioned_words = ''
     unconditional_regex = r'\[(.*?)\]'
     unconditionals = re.findall(unconditional_regex, prompt_string_uncleaned)

ldm/invoke/model_manager.py

@@ -781,6 +781,7 @@ class ModelManager(object):
         """
         model_path: Path = None
         thing = path_url_or_repo  # to save typing
+        is_temporary = False
 
         print(f">> Probing {thing} for import")
 
@@ -789,7 +790,7 @@ class ModelManager(object):
             model_path = self._resolve_path(
                 thing, "models/ldm/stable-diffusion-v1"
             )  # _resolve_path does a download if needed
-
+            is_temporary = True
         elif Path(thing).is_file() and thing.endswith((".ckpt", ".safetensors")):
             if Path(thing).stem in ["model", "diffusion_pytorch_model"]:
                 print(
@@ -896,6 +897,10 @@ class ModelManager(object):
                 original_config_file=model_config_file,
                 commit_to_conf=commit_to_conf,
             )
+            # in the event that this file was downloaded automatically prior to conversion
+            # we do not keep the original .ckpt/.safetensors around
+            if is_temporary:
+                model_path.unlink(missing_ok=True)
         else:
             model_name = self.import_ckpt_model(
                 model_path,