Per-model prefix + default_negative (realism-illustrious, wai-anima, samanima); apply in illustrious+anima branches

app.py

@@ -155,18 +155,27 @@ def _apply_prefix(prompt, prefix):
 #   anima       -> Anima (Cosmos-Predict2 DiT) via the experimental modular
 #                  pipeline. NON-COMMERCIAL license (CircleStone Labs).
 # -----------------------------------------------------------------------------
+# `prefix` is prepended to the positive prompt (dedup'd, via _apply_prefix);
+# `default_negative` is used as the negative prompt when the caller supports
+# negatives but supplies none. Both apply to the illustrious + anima families
+# (the guidance-free zimageturbo family ignores negatives).
 IMAGE_MODELS = {
     "one-obsession": dict(
         label=MODEL_NOOBXL, family="illustrious",
         checkpoint="checkpoints/il/oneObsession_v21Anime.safetensors",
         steps=28, guidance=5.0, height=1536, width=1024,
-        negative=True, prefix=NOOBXL_PREFIX,
+        negative=True, prefix=NOOBXL_PREFIX, default_negative=NOOBXL_NEGATIVE,
     ),
     "realism-illustrious": dict(
         label="Realism Illustrious (Stable Yogi)", family="illustrious",
         checkpoint="checkpoints/il/realismIllustriousBy_v55FP16.safetensors",
-        steps=30, guidance=5.0, height=1152, width=896,
-        negative=True, prefix="",
+        steps=30, guidance=5.0, height=1152, width=896, negative=True,
+        prefix="masterpiece, best quality, amazing quality, very aesthetic, absurdres, highres, ultra detailed",
+        default_negative=(
+            "worst quality, low quality, normal quality, blurry, jpeg artifacts, "
+            "bad anatomy, bad hands, bad toes, extra digits, fewer digits, deformed, "
+            "distorted, disfigured, simple background, text, watermark, signature, "
+            "web address, username, NEGATIVE_HANDS, lazyhand, lazyneg"),
     ),
     "moody-pro-mix": dict(
         label=MODEL_ZIMAGE, family="zimageturbo",
@@ -186,12 +195,23 @@ IMAGE_MODELS = {
     "wai-anima": dict(
         label="WAI-ANIMA", family="anima",
         checkpoint="checkpoints/anima/waiANIMA_v10Base10.safetensors",
-        steps=24, guidance=0.0, height=1024, width=1024, negative=True, prefix="",
+        steps=24, guidance=0.0, height=1024, width=1024, negative=True,
+        prefix="masterpiece, best quality,score_7,",
+        default_negative=(
+            "worst quality, low quality, score_1, score_2, score_3, artist name,"
+            "blurry, jpeg artifacts, lowres,censor"),
     ),
     "samanima": dict(
         label="SamANIMA", family="anima",
         checkpoint="checkpoints/anima/samANIMA_v20.safetensors",
-        steps=24, guidance=0.0, height=1024, width=1024, negative=True, prefix="",
+        steps=24, guidance=0.0, height=1024, width=1024, negative=True,
+        prefix="score_9,score_6,@2025,@candid photo,newest,HDR, photography, (dramatic lighting), very aesthetic",
+        default_negative=(
+            "missing finger,mutation,censor,censored,high contrast, harsh lighting, "
+            "cel shading, linear hatching,cartoon,toon,2D,CGI, comic, empty background, "
+            "monotone background, plastic skin, bad hands, blurry details,ugly face,"
+            "ugly woman,mutation,censor,filter,skinny female,vintage,wood,old background,"
+            "ulgly face,perspective default,fake breasts,breasts implants,title,logo,watermark"),
     ),
 }
 
@@ -203,6 +223,15 @@ def _model_entry(model_name):
     return MODEL_BY_LABEL.get(model_name, {})
 
 
+def _resolve_negative(entry, negative_prompt, use_negative_prompt, model_name):
+    """The negative prompt to actually use: the caller's (when they enabled it and
+    this model honors negatives), else the model's `default_negative`. Disabled or
+    unsupported -> empty."""
+    if not (use_negative_prompt and _supports_negative(model_name)):
+        return ""
+    return (negative_prompt or "").strip() or entry.get("default_negative", "")
+
+
 # Which models to load this boot. Unknown keys are ignored; an empty / all-invalid
 # selection falls back to the first registered model so the Space always boots.
 DEFAULT_IMAGE_MODELS = "one-obsession,moody-pro-mix"
@@ -841,12 +870,10 @@ def _generate_image_inner(
             requires_pooled=[False, True],
             truncate_long_prompts=False,
         )
-        # Per-model quality prefix (skipping tags already in the prompt).
+        # Per-model quality prefix (skipping tags already in the prompt) + the
+        # model's default negative when the caller supplied none.
         prompt = _apply_prefix(prompt, entry.get("prefix", ""))
-        # Wire the negative prompt in only when this model supports it and the
-        # caller hasn't disabled it; otherwise fall back to no negative prompt.
-        if not (use_negative_prompt and _supports_negative(model_name)):
-            negative_prompt = ""
+        negative_prompt = _resolve_negative(entry, negative_prompt, use_negative_prompt, model_name)
         conv_prompt = get_embed_new(prompt, pipe, compel, only_convert_string=True)
         conv_negative = get_embed_new(negative_prompt, pipe, compel, only_convert_string=True)
         # Encode prompt and negative separately, then pad to equal length. The
@@ -884,8 +911,8 @@ def _generate_image_inner(
         # manages guidance internally (no `guidance_scale` input) but does honor a
         # negative prompt. The modular call returns the requested `output` value.
         generator = torch.Generator("cuda").manual_seed(seed)
-        if not (use_negative_prompt and _supports_negative(model_name)):
-            negative_prompt = ""
+        prompt = _apply_prefix(prompt, entry.get("prefix", ""))
+        negative_prompt = _resolve_negative(entry, negative_prompt, use_negative_prompt, model_name)
         images = pipe(
             prompt=prompt,
             negative_prompt=negative_prompt or None,
@@ -1535,7 +1562,7 @@ with gr.Blocks(fill_height=True) as demo:
                         )
                         negative_prompt = gr.Textbox(
                             label="🚫 Negative Prompt",
-                            value=NOOBXL_NEGATIVE,
+                            value=_first_entry.get("default_negative", ""),
                             lines=3,
                             max_lines=6,
                             interactive=_default_supports_neg,