feat: add Anima (Cosmos-Predict-2B variant) pipeline support

Anima replaces the Cosmos T5-11B text encoder with Qwen3-0.6B + a
6-layer LLM adapter and uses CONST preconditioning instead of EDM.

- Add pipelines/model_anima.py loader with dynamic import of custom
  AnimaTextToImagePipeline and AnimaLLMAdapter from model repo
- Register 'Anima' pipeline in shared_items.py
- Add name-based detection in sd_detect.py
- Fix list-format _class_name handling in guess_by_diffusers()
- Wire loader in sd_models.py load_diffuser_force()
- Skip noise_pred callback injection for Anima (uses velocity instead)
- Add output_type='np' override in processing_args.py

modules/processing_args.py

@@ -269,7 +269,7 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
             kwargs['output_type'] = 'np' # only set latent if model has vae
 
     # model specific
-    if 'Kandinsky' in model.__class__.__name__ or 'Cosmos2' in model.__class__.__name__ or 'OmniGen2' in model.__class__.__name__:
+    if 'Kandinsky' in model.__class__.__name__ or 'Cosmos2' in model.__class__.__name__ or 'Anima' in model.__class__.__name__ or 'OmniGen2' in model.__class__.__name__:
         kwargs['output_type'] = 'np' # only set latent if model has vae
     if 'StableCascade' in model.__class__.__name__:
         kwargs.pop("guidance_scale") # remove

modules/sd_detect.py

@@ -103,6 +103,8 @@ def guess_by_name(fn, current_guess):
         new_guess = 'FLUX'
     elif 'flex.2' in fn.lower():
         new_guess = 'FLEX'
+    elif 'anima' in fn.lower() and 'cosmos' in fn.lower():
+        new_guess = 'Anima'
     elif 'cosmos-predict2' in fn.lower():
         new_guess = 'Cosmos'
     elif 'f-lite' in fn.lower():

modules/sd_models.py

@@ -406,6 +406,10 @@ def load_diffuser_force(detected_model_type, checkpoint_info, diffusers_load_con
             from pipelines.model_cosmos import load_cosmos_t2i
             sd_model = load_cosmos_t2i(checkpoint_info, diffusers_load_config)
             allow_post_quant = False
+        elif model_type in ['Anima']:
+            from pipelines.model_anima import load_anima
+            sd_model = load_anima(checkpoint_info, diffusers_load_config)
+            allow_post_quant = False
         elif model_type in ['FLite']:
             from pipelines.model_flite import load_flite
             sd_model = load_flite(checkpoint_info, diffusers_load_config)
@@ -1248,6 +1252,8 @@ def set_diffuser_pipe(pipe, new_pipe_type):
 def add_noise_pred_to_diffusers_callback(pipe):
     if not hasattr(pipe, "_callback_tensor_inputs"):
         return pipe
+    if pipe.__class__.__name__.startswith("Anima"):
+        return pipe
     if pipe.__class__.__name__.startswith("StableCascade") and ("predicted_image_embedding" not in pipe._callback_tensor_inputs): # pylint: disable=protected-access
         pipe.prior_pipe._callback_tensor_inputs.append("predicted_image_embedding") # pylint: disable=protected-access
     elif "noise_pred" not in pipe._callback_tensor_inputs: # pylint: disable=protected-access

modules/shared_items.py

@@ -64,6 +64,7 @@ pipelines = {
     'X-Omni': getattr(diffusers, 'DiffusionPipeline', None),
     'HunyuanImage3': getattr(diffusers, 'DiffusionPipeline', None),
     'ChronoEdit': getattr(diffusers, 'DiffusionPipeline', None),
+    'Anima': getattr(diffusers, 'DiffusionPipeline', None),
 }