Support negative prompts. Credit for the approach: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Negative-prompt

ui/index.html

@@ -15,7 +15,7 @@
 <div id="container">
     <div id="top-nav">
         <div id="logo">
-            <h1>Stable Diffusion UI <small>v2.18 <span id="updateBranchLabel"></span></small></h1>
+            <h1>Stable Diffusion UI <small>v2.19 <span id="updateBranchLabel"></span></small></h1>
         </div>
         <ul id="top-nav-items">
             <li class="dropdown">
@@ -153,6 +153,11 @@
 
                     <br/>
 
+                    <li><b class="settings-subheader">Prompt Settings</b></li>
+                    <li class="pl-5"><label for="negative_prompt">Negative Prompt:</label> <input id="negative_prompt" name="negative_prompt" size="55"></li>
+
+                    <br/>
+
                     <li><b class="settings-subheader">Render Settings</b></li>
                     <li class="pl-5"><input id="stream_image_progress" name="stream_image_progress" type="checkbox"> <label for="stream_image_progress">Show a live preview of the image <small>(uses more VRAM, slightly slower image creation)</small></label></li>
                     <li class="pl-5"><input id="use_face_correction" name="use_face_correction" type="checkbox" checked> <label for="use_face_correction">Fix incorrect faces and eyes <small>(uses GFPGAN)</small></label></li>
@@ -208,7 +213,7 @@
 </div>
 </body>
 
-<script src="media/main.js?v=11"></script>
+<script src="media/main.js?v=12"></script>
 <script>
 async function init() {
     await loadModifiers()

ui/media/main.js

@@ -18,6 +18,7 @@ const IMAGE_REGEX = new RegExp('data:image/[A-Za-z]+;base64')
 let sessionId = new Date().getTime()
 
 let promptField = document.querySelector('#prompt')
+let negativePromptField = document.querySelector('#negative_prompt')
 let numOutputsTotalField = document.querySelector('#num_outputs_total')
 let numOutputsParallelField = document.querySelector('#num_outputs_parallel')
 let numInferenceStepsField = document.querySelector('#num_inference_steps')
@@ -628,6 +629,7 @@ async function makeImage() {
     let reqBody = {
         session_id: sessionId,
         prompt: prompt,
+        negative_prompt: negativePromptField.value.trim(),
         num_outputs: batchSize,
         num_inference_steps: numInferenceStepsField.value,
         guidance_scale: guidanceScaleField.value,
@@ -672,6 +674,10 @@ async function makeImage() {
 
     let taskConfig = `Seed: ${seed}, Sampler: ${reqBody['sampler']}, Inference Steps: ${numInferenceStepsField.value}, Guidance Scale: ${guidanceScaleField.value}`
 
+    if (negativePromptField.value.trim() !== '') {
+        taskConfig += `, Negative Prompt: ${negativePromptField.value.trim()}`
+    }
+
     if (reqBody['init_image'] !== undefined) {
         taskConfig += `, Prompt Strength: ${promptStrengthField.value}`
     }

ui/sd_internal/__init__.py

@@ -3,6 +3,7 @@ import json
 class Request:
     session_id: str = "session"
     prompt: str = ""
+    negative_prompt: str = ""
     init_image: str = None # base64
     mask: str = None # base64
     num_outputs: int = 1
@@ -30,6 +31,7 @@ class Request:
         return {
             "session_id": self.session_id,
             "prompt": self.prompt,
+            "negative_prompt": self.negative_prompt,
             "num_outputs": self.num_outputs,
             "num_inference_steps": self.num_inference_steps,
             "guidance_scale": self.guidance_scale,
@@ -46,6 +48,7 @@ class Request:
         return f'''
     session_id: {self.session_id}
     prompt: {self.prompt}
+    negative_prompt: {self.negative_prompt}
     seed: {self.seed}
     num_inference_steps: {self.num_inference_steps}
     sampler: {self.sampler}

ui/sd_internal/runtime.py

@@ -343,7 +343,7 @@ def do_mk_img(req: Request):
                     modelCS.to(device)
                     uc = None
                     if opt_scale != 1.0:
-                        uc = modelCS.get_learned_conditioning(batch_size * [""])
+                        uc = modelCS.get_learned_conditioning(batch_size * [req.negative_prompt])
                     if isinstance(prompts, tuple):
                         prompts = list(prompts)
 

ui/server.py

@@ -39,6 +39,7 @@ app.mount('/media', StaticFiles(directory=os.path.join(SD_UI_DIR, 'media/')), na
 class ImageRequest(BaseModel):
     session_id: str = "session"
     prompt: str = ""
+    negative_prompt: str = ""
     init_image: str = None # base64
     mask: str = None # base64
     num_outputs: int = 1
@@ -100,6 +101,7 @@ def image(req : ImageRequest):
     r = Request()
     r.session_id = req.session_id
     r.prompt = req.prompt
+    r.negative_prompt = req.negative_prompt
     r.init_image = req.init_image
     r.mask = req.mask
     r.num_outputs = req.num_outputs