rename CPU RNG to RNG source in settings, add infotext and parameters...

rename CPU RNG to RNG source in settings, add infotext and parameters copypaste support to RNG source

modules/devices.py

@@ -95,7 +95,7 @@ def randn(seed, shape):
     from modules.shared import opts
 
     torch.manual_seed(seed)
-    if opts.use_cpu_randn or device.type == 'mps':
+    if opts.randn_source == "CPU" or device.type == 'mps':
         return torch.randn(shape, device=cpu).to(device)
     return torch.randn(shape, device=device)
 
@@ -103,7 +103,7 @@ def randn(seed, shape):
 def randn_without_seed(shape):
     from modules.shared import opts
 
-    if opts.use_cpu_randn or device.type == 'mps':
+    if opts.randn_source == "CPU" or device.type == 'mps':
         return torch.randn(shape, device=cpu).to(device)
     return torch.randn(shape, device=device)
 

modules/generation_parameters_copypaste.py

@@ -284,6 +284,10 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
 
     restore_old_hires_fix_params(res)
 
+    # Missing RNG means the default was set, which is GPU RNG
+    if "RNG" not in res:
+        res["RNG"] = "GPU"
+
     return res
 
 
@@ -304,6 +308,7 @@ infotext_to_setting_name_mapping = [
     ('UniPC skip type', 'uni_pc_skip_type'),
     ('UniPC order', 'uni_pc_order'),
     ('UniPC lower order final', 'uni_pc_lower_order_final'),
+    ('RNG', 'randn_source'),
 ]
 
 

modules/processing.py

@@ -477,7 +477,8 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
         "Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None,
         "Clip skip": None if clip_skip <= 1 else clip_skip,
         "ENSD": None if opts.eta_noise_seed_delta == 0 else opts.eta_noise_seed_delta,
-        "Init image hash": getattr(p, 'init_img_hash', None)
+        "Init image hash": getattr(p, 'init_img_hash', None),
+        "RNG": (opts.randn_source if opts.randn_source != "GPU" else None)
     }
 
     generation_params.update(p.extra_generation_params)

modules/sd_samplers_common.py

@@ -61,7 +61,8 @@ def store_latent(decoded):
 class InterruptedException(BaseException):
     pass
 
-if opts.use_cpu_randn:
+
+if opts.randn_source == "CPU":
     import torchsde._brownian.brownian_interval
 
     def torchsde_randn(size, dtype, device, seed):

modules/sd_samplers_kdiffusion.py

@@ -190,7 +190,7 @@ class TorchHijack:
             if noise.shape == x.shape:
                 return noise
 
-        if opts.use_cpu_randn or x.device.type == 'mps':
+        if opts.randn_source == "CPU" or x.device.type == 'mps':
             return torch.randn_like(x, device=devices.cpu).to(x.device)
         else:
             return torch.randn_like(x)

modules/shared.py

@@ -334,7 +334,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),
     "CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
     "upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
-    "use_cpu_randn": OptionInfo(False, "Use CPU for random number generation to make manual seeds generate the same image across platforms. This may change existing seeds."),
+    "randn_source": OptionInfo("GPU", "Random number generator source. Changes seeds drastically. Use CPU to produce the same picture across different vidocard vendors.", gr.Radio, {"choices": ["GPU", "CPU"]}),
 }))
 
 options_templates.update(options_section(('compatibility', "Compatibility"), {