diff --git a/ui/index.html b/ui/index.html
index e67d5b33..e8eef60b 100644
--- a/ui/index.html
+++ b/ui/index.html
@@ -269,7 +269,7 @@
                     <div id="server-status-color">&nbsp;</div>
                     <span id="server-status-msg">Stable Diffusion is starting..</span>
                 </div>
-                <h1>Stable Diffusion UI <small>v2.07 (beta)</small></h1>
+                <h1>Stable Diffusion UI <small>v2.08 (beta)</small></h1>
             </div>
             <div id="editor-inputs">
                 <div id="editor-inputs-prompt" class="row">
@@ -347,7 +347,7 @@
                     <li><input id="sound_toggle" name="sound_toggle" type="checkbox" checked> <label for="sound_toggle">Play sound on task completion</label></li>
                     <li><input id="turbo" name="turbo" type="checkbox" checked> <label for="turbo">Turbo mode (generates images faster, but uses an additional 1 GB of GPU memory)</label></li>
                     <li><input id="use_cpu" name="use_cpu" type="checkbox"> <label for="use_cpu">Use CPU instead of GPU (warning: this will be *very* slow)</label></li>
-                    <li><input id="use_full_precision" name="use_full_precision" type="checkbox"> <label for="use_full_precision">Use full precision (for GPU-only. warning: this will consume more VRAM. Use this for NVIDIA 1650 and 1660)</label></li>
+                    <li><input id="use_full_precision" name="use_full_precision" type="checkbox"> <label for="use_full_precision">Use full precision (for GPU-only. warning: this will consume more VRAM)</label></li>
                     <!-- <li><input id="allow_nsfw" name="allow_nsfw" type="checkbox"> <label for="allow_nsfw">Allow NSFW Content (You confirm you are above 18 years of age)</label></li> -->
                 </ul>
             </div>
diff --git a/ui/sd_internal/runtime.py b/ui/sd_internal/runtime.py
index b5082cf4..0999b86d 100644
--- a/ui/sd_internal/runtime.py
+++ b/ui/sd_internal/runtime.py
@@ -43,13 +43,22 @@ precision = 'autocast'
 sampler_plms = None
 sampler_ddim = None
 
+force_full_precision = False
+try:
+    gpu_name = torch.cuda.get_device_name(torch.cuda.current_device())
+    force_full_precision = ('nvidia' in gpu_name.lower()) and (' 1660' in gpu_name or ' 1650' in gpu_name) # otherwise these NVIDIA cards create green images
+    if force_full_precision:
+        print('forcing full precision on NVIDIA 16xx cards, to avoid green images')
+except:
+    pass
+
 # api
 def load_model(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_use=1, precision_to_use='autocast', half_model_fs=False):
     global ckpt, model, modelCS, modelFS, model_is_half, device, unet_bs, precision, model_fs_is_half
 
     ckpt = ckpt_to_use
     device = device_to_use
-    precision = precision_to_use
+    precision = precision_to_use if not force_full_precision else 'full'
     unet_bs = unet_bs_to_use
 
     sd = load_model_from_config(f"{ckpt}")
@@ -119,9 +128,9 @@ def mk_img(req: Request):
         device = 'cuda'
 
         if (precision == 'autocast' and (req.use_full_precision or not model_is_half)) or \
-            (precision == 'full' and not req.use_full_precision) or \
+            (precision == 'full' and not req.use_full_precision and not force_full_precision) or \
             (req.init_image is None and model_fs_is_half) or \
-            (req.init_image is not None and not model_fs_is_half):
+            (req.init_image is not None and not model_fs_is_half and not force_full_precision):
 
             print('reloading model for cuda')
             load_model(ckpt, device, model.turbo, unet_bs, ('full' if req.use_full_precision else 'autocast'), half_model_fs=(req.init_image is not None and not req.use_full_precision))
@@ -147,6 +156,8 @@ def mk_img(req: Request):
 
     print(req.to_string(), '\n    device', device)
 
+    print('\n\n    Using precision:', precision)
+
     seed_everything(opt_seed)
 
     batch_size = opt_n_samples