Model card auto-generated by SimpleTuner

README.md

@@ -10,7 +10,32 @@ tags:
   - lora
   - template:sd-lora
 inference: true
-
+widget:
+- text: 'unconditional (blank prompt)'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_0_0.png
+- text: 'night landscape, full moon, starry sky, mountain silhouette, glowing moon, fireflies, illuminated grass, forest trees, blue tone, serene atmosphere, dreamy scene, outdoor wilderness, natural beauty, twilight, nocturnal environment, magical ambiance, night photography, moonlit field, peaceful setting, lush greenery'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_1_0.png
+- text: 'Dense forest, ancient tree, wooden bridge, moss-covered, flowing stream, mystical atmosphere, high resolution, balanced composition, green foliage, misty background, realistic photography, soft natural light, lush greenery, nature scenery, serene, tranquil mood, detailed texture, vibrant greens, forest pathway, overgrown.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_2_0.png
+- text: 'cabin in the woods, misty forest, realistic photography, centered composition, high resolution, dark color palette, soft evening light, front view, wooden texture, eerie atmosphere, warm interior light, serene setting, reflective water surface, overcast sky, rustic house, forested landscape, dim lighting, reflective puddles, wet ground, cozy yet mysterious ambiance'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_3_0.png
+- text: 'An illustration of a serene landscape at night, moonlit mountain scene, tall pine trees on a small island, snow-capped mountains in the background, still lake reflecting trees and full moon, cloud-speckled sky dotted with stars, soft ambient lighting, primary color tones of blue and white, ambient and tranquil atmosphere, high resolution, extremely detailed.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_4_0.png
 ---
 
 # simpletuner-lora
@@ -32,11 +57,11 @@ An illustration of a serene landscape at night, moonlit mountain scene, tall pin
 - Steps: `20`
 - Sampler: `None`
 - Seed: `42`
-- Resolutions: `1024x1024,1344x768`
+- Resolution: `1344x768`
 
 Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
 
-
+You can find some example images in the following gallery:
 
 
 <Gallery />
@@ -47,8 +72,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 9
-- Training steps: 0
+- Training epochs: 0
+- Training steps: 500
 - Learning rate: 0.0001
 - Effective batch size: 1
   - Micro-batch size: 1
@@ -58,10 +83,10 @@ You may reuse the base model text encoder for inference.
 - Rescaled betas zero SNR: False
 - Optimizer: adamw_bf16
 - Precision: bf16
-- Quantised: No
+- Quantised: Yes: int8-quanto
 - Xformers: Not used
 - LoRA Rank: 16
-- LoRA Alpha: None
+- LoRA Alpha: 16.0
 - LoRA Dropout: 0.1
 - LoRA initialisation style: default
     
@@ -72,7 +97,7 @@ You may reuse the base model text encoder for inference.
 - Repeats: 0
 - Total number of images: 1089
 - Total number of aspect buckets: 1
-- Resolution: 0.262144 megapixels
+- Resolution: 1.048576 megapixels
 - Cropped: True
 - Crop style: center
 - Crop aspect: square
@@ -97,8 +122,8 @@ image = pipeline(
     prompt=prompt,
     num_inference_steps=20,
     generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
-    width=1024,
-    height=1024,
+    width=1344,
+    height=768,
     guidance_scale=3.0,
 ).images[0]
 image.save("output.png", format="PNG")