Refactor image_tab function to update the Guidance Scale range

tabs/images/events.py

@@ -16,7 +16,7 @@ def update_model_options(model):
                         visible=False
                     ),
                     gr.update( # lora_gallery
-                        value=Config.IMAGES_LORAS_FLUX
+                        value=[(lora['image'], lora['title']) for lora in Config.IMAGES_LORAS_FLUX]
                     ),
                     gr.update( # embeddings_accordion
                         visible=False
@@ -41,7 +41,7 @@ def update_model_options(model):
                         visible=True
                     ),
                     gr.update( # lora_gallery
-                        value=Config.IMAGES_LORAS_SDXL
+                        value=[(lora['image'], lora['title']) for lora in Config.IMAGES_LORAS_SDXL]
                     ),
                     gr.update( # embeddings_accordion
                         visible=True

tabs/images/handlers.py

@@ -213,7 +213,7 @@ def gen_img(request: BaseReq | BaseImg2ImgReq | BaseInpaintReq, progress=gr.Prog
         progress(0.3, "Getting Prompt Embeddings")
         # Get Prompt Embeddings
         if isinstance(pipeline, flux_pipes):
-            positive_prompt_embeds, positive_prompt_pooled = get_weighted_text_embeddings_flux1(pipeline, request.prompt)
+            positive_prompt_embeds, positive_prompt_pooled = get_weighted_text_embeddings_flux1(pipeline, request.prompt, device=device)
         elif isinstance(pipeline, sd_pipes):
             positive_prompt_embeds, negative_prompt_embeds, positive_prompt_pooled, negative_prompt_pooled = get_weighted_text_embeddings_sdxl(pipeline, request.prompt, request.negative_prompt)
 

tabs/images/ui.py

@@ -124,7 +124,7 @@ def image_tab():
                                 ("Num Images Per Prompt", "image_num_images_per_prompt", 1, 4, 1, 1, True),
                                 ("Num Inference Steps", "image_num_inference_steps", 1, 100, 1, 20, True),
                                 ("Clip Skip", "image_clip_skip", 0, 2, 1, 2, False),
-                                ("Guidance Scale", "image_guidance_scale", 0, 20, 0.5, 7.0, True),
+                                ("Guidance Scale", "image_guidance_scale", 0, 20, 0.5, 3.5, True),
                                 ("Seed", "image_seed", 0, 100000, 1, random.randint(0, 100000), True),
                             ]
                             for label, var_name, min_val, max_val, step, value, visible in options[column::2]: