Add custom nodes, Civitai loras (LFS), and vast.ai setup script

Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

custom_nodes/ComfyUI-Easy-Use/py/server.py

@@ -0,0 +1,166 @@
+import random
+import server
+from enum import Enum
+
+class SGmode(Enum):
+    FIX = 1
+    INCR = 2
+    DECR = 3
+    RAND = 4
+
+
+class SeedGenerator:
+    def __init__(self, base_value, action):
+        self.base_value = base_value
+
+        if action == "fixed" or action == "increment" or action == "decrement" or action == "randomize":
+            self.action = SGmode.FIX
+        elif action == 'increment for each node':
+            self.action = SGmode.INCR
+        elif action == 'decrement for each node':
+            self.action = SGmode.DECR
+        elif action == 'randomize for each node':
+            self.action = SGmode.RAND
+
+    def next(self):
+        seed = self.base_value
+
+        if self.action == SGmode.INCR:
+            self.base_value += 1
+            if self.base_value > 1125899906842624:
+                self.base_value = 0
+        elif self.action == SGmode.DECR:
+            self.base_value -= 1
+            if self.base_value < 0:
+                self.base_value = 1125899906842624
+        elif self.action == SGmode.RAND:
+            self.base_value = random.randint(0, 1125899906842624)
+
+        return seed
+
+
+def control_seed(v, action, seed_is_global):
+    action = v['inputs']['action'] if seed_is_global else action
+    value = v['inputs']['value'] if seed_is_global else v['inputs']['seed_num']
+
+    if action == 'increment' or action == 'increment for each node':
+        value = value + 1
+        if value > 1125899906842624:
+            value = 0
+    elif action == 'decrement' or action == 'decrement for each node':
+        value = value - 1
+        if value < 0:
+            value = 1125899906842624
+    elif action == 'randomize' or action == 'randomize for each node':
+        value = random.randint(0, 1125899906842624)
+    if seed_is_global:
+        v['inputs']['value'] = value
+
+    return value
+
+
+def prompt_seed_update(json_data):
+    try:
+        seed_widget_map = json_data['extra_data']['extra_pnginfo']['workflow']['seed_widgets']
+    except:
+        return None
+
+    workflow = json_data['extra_data']['extra_pnginfo']['workflow']
+    seed_widget_map = workflow['seed_widgets']
+    value = None
+    mode = None
+    node = None
+    action = None
+    seed_is_global = False
+
+    for k, v in json_data['prompt'].items():
+        if 'class_type' not in v:
+            continue
+
+        cls = v['class_type']
+
+        if cls == 'easy globalSeed':
+            mode = v['inputs']['mode']
+            action = v['inputs']['action']
+            value = v['inputs']['value']
+            node = k, v
+            seed_is_global = True
+
+    # control before generated
+    if mode is not None and mode and seed_is_global:
+        value = control_seed(node[1], action, seed_is_global)
+
+    if seed_is_global:
+        if value is not None:
+            seed_generator = SeedGenerator(value, action)
+
+            for k, v in json_data['prompt'].items():
+                for k2, v2 in v['inputs'].items():
+                    if isinstance(v2, str) and '$GlobalSeed.value$' in v2:
+                        v['inputs'][k2] = v2.replace('$GlobalSeed.value$', str(value))
+
+                if k not in seed_widget_map:
+                    continue
+
+                if 'seed_num' in v['inputs']:
+                    if isinstance(v['inputs']['seed_num'], int):
+                        v['inputs']['seed_num'] = seed_generator.next()
+
+                if 'seed' in v['inputs']:
+                    if isinstance(v['inputs']['seed'], int):
+                        v['inputs']['seed'] = seed_generator.next()
+
+                if 'noise_seed' in v['inputs']:
+                    if isinstance(v['inputs']['noise_seed'], int):
+                        v['inputs']['noise_seed'] = seed_generator.next()
+
+                for k2, v2 in v['inputs'].items():
+                    if isinstance(v2, str) and '$GlobalSeed.value$' in v2:
+                        v['inputs'][k2] = v2.replace('$GlobalSeed.value$', str(value))
+        # control after generated
+        if mode is not None and not mode:
+            control_seed(node[1], action, seed_is_global)
+
+    return value is not None
+
+
+def workflow_seed_update(json_data):
+    nodes = json_data['extra_data']['extra_pnginfo']['workflow']['nodes']
+    seed_widget_map = json_data['extra_data']['extra_pnginfo']['workflow']['seed_widgets']
+    prompt = json_data['prompt']
+
+    updated_seed_map = {}
+    value = None
+
+    for node in nodes:
+        node_id = str(node['id'])
+        if node_id in prompt:
+            if node['type'] == 'easy globalSeed':
+                value = prompt[node_id]['inputs']['value']
+                length = len(node['widgets_values'])
+                node['widgets_values'][length-1] = node['widgets_values'][0]
+                node['widgets_values'][0] = value
+            elif node_id in seed_widget_map:
+                widget_idx = seed_widget_map[node_id]
+
+                if 'seed_num' in prompt[node_id]['inputs']:
+                    seed = prompt[node_id]['inputs']['seed_num']
+                elif 'noise_seed' in prompt[node_id]['inputs']:
+                    seed = prompt[node_id]['inputs']['noise_seed']
+                else:
+                    seed = prompt[node_id]['inputs']['seed']
+
+                node['widgets_values'][widget_idx] = seed
+                updated_seed_map[node_id] = seed
+
+    server.PromptServer.instance.send_sync("easyuse-global-seed", {"id": node_id, "value": value, "seed_map": updated_seed_map})
+
+
+def onprompt(json_data):
+    is_changed = prompt_seed_update(json_data)
+    if is_changed:
+        workflow_seed_update(json_data)
+
+    return json_data
+
+server.PromptServer.instance.add_on_prompt_handler(onprompt)