remove double basicr requirement

add seed change for anon

modules/processing.py

@@ -99,6 +99,10 @@ def create_random_tensors(shape, seeds):
     return x
 
 
+def set_seed(seed):
+    return int(random.randrange(4294967294)) if seed is None or seed == -1 else seed
+
+
 def process_images(p: StableDiffusionProcessing) -> Processed:
     """this is the main loop that both txt2img and img2img use; it calls func_init once inside all the scopes and func_sample once per batch"""
 
@@ -107,7 +111,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
     assert p.prompt is not None
     torch_gc()
 
-    seed = int(random.randrange(4294967294)) if p.seed == -1 else p.seed
+    seed = set_seed(p.seed)
 
     os.makedirs(p.outpath_samples, exist_ok=True)
     os.makedirs(p.outpath_grids, exist_ok=True)

requirements.txt

@@ -8,7 +8,6 @@ torch
 transformers
 omegaconf
 pytorch_lightning
-basicsr
 diffusers
 invisible-watermark
 git+https://github.com/crowsonkb/k-diffusion.git

requirements_versions.txt

@@ -1,4 +1,4 @@
-basicsr==1.4.1
+basicsr==1.3.5
 gfpgan
 gradio==3.2
 numpy==1.22.0
@@ -8,4 +8,3 @@ torch
 transformers==4.19.2
 omegaconf==2.1.1
 pytorch_lightning==1.7.2
-basicsr==1.3.5

scripts/prompt_matrix.py

@@ -50,7 +50,7 @@ def ui(self, is_img2img):
         return [put_at_start]
 
     def run(self, p, put_at_start):
-        seed = int(random.randrange(4294967294) if p.seed == -1 else p.seed)
+        seed = modules.processing.set_seed(p.seed)
 
         original_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt
 

scripts/xy_grid.py

@@ -108,7 +108,7 @@ def ui(self, is_img2img):
         return [x_type, x_values, y_type, y_values]
 
     def run(self, p, x_type, x_values, y_type, y_values):
-        p.seed = int(random.randrange(4294967294) if p.seed == -1 else p.seed)
+        p.seed = modules.processing.set_seed(p.seed)
         p.batch_size = 1
         p.batch_count = 1