Update README.md
Browse files
README.md
CHANGED
@@ -20,31 +20,31 @@ metrics:
|
|
20 |
- IS
|
21 |
widget:
|
22 |
- text: >-
|
23 |
-
high quality, masterpiece, detailed, 8K, artist:laxhar
|
24 |
parameters:
|
25 |
negative_prompt: >-
|
26 |
lowres, worst quality, low quality, bad anatomy, bad hands, 4koma, comic, greyscale, censored, jpeg artifacts, overly saturated, overly vivid, (multiple views:1.1), (bad:1.05), fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, sepia, sketch, flat color, signature, artistic error, username, scan, (blurry, lowres, worst quality, (low quality:1.1), ugly, (bad anatomy:1.05), artist name, (patreon username:1.2)
|
27 |
output:
|
28 |
-
url: stand_on_ripplewater.
|
29 |
---
|
30 |
|
31 |
# MIDNIGHT_NAI-XL_vPredV1
|
32 |
|
33 |
**Model Type:** Diffusion-based text-to-image generative model
|
34 |
|
35 |
-
**Base Model:** SDXL 1.0
|
36 |
|
37 |
**License:** [CreativeML Open RAIL++-M](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE)
|
38 |
|
39 |
## Model Description
|
40 |
|
41 |
-
MIDNIGHT_NAI-XL_vPredV1 is a fine-
|
42 |
|
43 |
## Key Features
|
44 |
|
45 |
-
- **
|
46 |
-
- **
|
47 |
-
- **
|
48 |
- **Balanced Color Output:** Produces vibrant images with reduced risk of overexposure.
|
49 |
|
50 |
## Usage Recommendations
|
@@ -52,6 +52,25 @@ MIDNIGHT_NAI-XL_vPredV1 is a fine-tuned version of the NoobAI-XL (NAI-XL) model,
|
|
52 |
- **Dynamic CFG Plugin:** To prevent oversaturation or dull images, it's recommended to use the Dynamic CFG & CFG Rescale plugin with a configuration setting around 0.2.
|
53 |
- **Sampling Methods:** While compatible with most sampling methods, V-prediction models do not support the Karras series. For optimal results, use Euler or DDIM sampling methods.
|
54 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
55 |
## How to Use
|
56 |
|
57 |
### Method I: reForge
|
|
|
20 |
- IS
|
21 |
widget:
|
22 |
- text: >-
|
23 |
+
high quality, masterpiece, detailed, 8K, artist:laxhar, futuristic cityscape at night, towering skyscrapers with glowing neon signs, rain-soaked streets reflecting vibrant colors, lone figure in a sleek black coat walking under a glowing umbrella, dynamic pose, wind-swept hair, cinematic lighting, cool blue and purple tones, hyper-detailed, sharp focus, film grain, chromatic aberration, gritty texture, limited palette, high contrast
|
24 |
parameters:
|
25 |
negative_prompt: >-
|
26 |
lowres, worst quality, low quality, bad anatomy, bad hands, 4koma, comic, greyscale, censored, jpeg artifacts, overly saturated, overly vivid, (multiple views:1.1), (bad:1.05), fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, sepia, sketch, flat color, signature, artistic error, username, scan, (blurry, lowres, worst quality, (low quality:1.1), ugly, (bad anatomy:1.05), artist name, (patreon username:1.2)
|
27 |
output:
|
28 |
+
url: stand_on_ripplewater.png
|
29 |
---
|
30 |
|
31 |
# MIDNIGHT_NAI-XL_vPredV1
|
32 |
|
33 |
**Model Type:** Diffusion-based text-to-image generative model
|
34 |
|
35 |
+
**Base Model:** SDXL 1.0
|
36 |
|
37 |
**License:** [CreativeML Open RAIL++-M](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE)
|
38 |
|
39 |
## Model Description
|
40 |
|
41 |
+
MIDNIGHT_NAI-XL_vPredV1 is a specialized fine-tuning of the NoobAI-XL (NAI-XL) model, designed to enhance anatomical precision, compositional coherence, and versatile style integration. This model excels in generating high-quality images with vibrant colors while minimizing overexposure.
|
42 |
|
43 |
## Key Features
|
44 |
|
45 |
+
- **Enhanced Fine-Tuning:** Utilizes carefully curated datasets to improve anatomical accuracy and composition.
|
46 |
+
- **Versatile Style Integration:** Performs robustly when combining multiple artistic styles.
|
47 |
+
- **Optimized Quality Keywords:** Increases the effectiveness of quality-related prompts.
|
48 |
- **Balanced Color Output:** Produces vibrant images with reduced risk of overexposure.
|
49 |
|
50 |
## Usage Recommendations
|
|
|
52 |
- **Dynamic CFG Plugin:** To prevent oversaturation or dull images, it's recommended to use the Dynamic CFG & CFG Rescale plugin with a configuration setting around 0.2.
|
53 |
- **Sampling Methods:** While compatible with most sampling methods, V-prediction models do not support the Karras series. For optimal results, use Euler or DDIM sampling methods.
|
54 |
|
55 |
+
## Custom Workflow: MIDNIGHT1111_Chasm
|
56 |
+
|
57 |
+
For an optimized generation process, consider using the custom workflow `MIDNIGHT1111_Chasm 2025-02-02.json`. This workflow is tailored to leverage the strengths of the MIDNIGHT_NAI-XL_vPredV1 model, providing a streamlined and efficient image generation pipeline.
|
58 |
+
|
59 |
+

|
60 |
+
|
61 |
+
*Note: The above image is a preview of the `MIDNIGHT1111_Chasm` workflow.*
|
62 |
+
|
63 |
+
## Trigger Word Lists
|
64 |
+
|
65 |
+
To enhance the model's performance and specificity, trigger word lists are included in the files:
|
66 |
+
|
67 |
+
- `danbooru_artist_webui.csv`
|
68 |
+
- `danbooru_character_webui.csv`
|
69 |
+
- `e621_artist_webui.csv`
|
70 |
+
- `e621_character_webui.csv`
|
71 |
+
|
72 |
+
These lists provide recognized tags for various artists and characters, facilitating more accurate and tailored image generation.
|
73 |
+
|
74 |
## How to Use
|
75 |
|
76 |
### Method I: reForge
|