made available comfyui clip

No more need to download tokenizers and text encoders, now we can use comfyui clip loader

utils.py

@@ -8,7 +8,7 @@ from PIL import Image
 
 from folder_paths import map_legacy, folder_names_and_paths
 from .controlnet_union import ControlNetModel_Union
-from .pipeline_fill_sd_xl import encode_prompt, StableDiffusionXLFillPipeline
+from .pipeline_fill_sd_xl import StableDiffusionXLFillPipeline
 from diffusers import AutoencoderKL, TCDScheduler
 from diffusers.models.model_loading_utils import load_state_dict
 from transformers import CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
@@ -94,22 +94,6 @@ def clearVram(device):
     # torch.ipc_collect() not available, and ipc_collect seems available only for cuda
 
 
-def encodeDiffOutpaintPrompt(model_path, dtype, final_prompt, device):    
-    tokenizer, tokenizer_2, text_encoder, text_encoder_2 = loadDiffModels1(model_path, dtype, device)
-
-    (prompt_embeds,
-     negative_prompt_embeds,
-     pooled_prompt_embeds,
-     negative_pooled_prompt_embeds,
-    ) = encode_prompt(final_prompt, tokenizer, tokenizer_2, text_encoder, text_encoder_2, device, True)
-    
-    del tokenizer, tokenizer_2, text_encoder, text_encoder_2
-    
-    clearVram(device)
-
-    return prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds
-
-
 def loadControlnetModel(device, dtype, controlnet_path):
     config_file = f"{controlnet_path}/config_promax.json"
     config = ControlNetModel_Union.load_config(config_file)
@@ -179,6 +163,7 @@ def diffuserOutpaintSamples(model_path, controlnet_model, diffuser_outpaint_cnet
             controlnet_conditioning_scale=controlnet_strength,
             guidance_scale=guidance_scale,
             device=device,
+            dtype=dtype,
             keep_model_device=keep_model_device,
         ))