Instructions to use jarod2212/Aetheria_Moonlight_Shadow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jarod2212/Aetheria_Moonlight_Shadow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jarod2212/Aetheria_Moonlight_Shadow") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
4ab46b0
verified ·
0
Parent(s):
initial commit
Browse files- .gitattributes +55 -0
- README.md +80 -0
.gitattributes
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.lz4 filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
# Audio files - uncompressed
|
| 38 |
+
*.pcm filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
*.sam filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
*.raw filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
# Audio files - compressed
|
| 42 |
+
*.aac filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
*.flac filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
*.mp3 filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
*.ogg filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
*.wav filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
# Image files - uncompressed
|
| 48 |
+
*.bmp filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
*.gif filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
*.png filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
*.tiff filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
# Image files - compressed
|
| 53 |
+
*.jpg filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
*.jpeg filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
*.webp filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- text-to-image
|
| 4 |
+
- lora
|
| 5 |
+
- diffusers
|
| 6 |
+
- template:diffusion-lora
|
| 7 |
+
widget:
|
| 8 |
+
- output:
|
| 9 |
+
url: images/3b2302b6-eee7-4a7f-b408-214a0fdad248.png
|
| 10 |
+
text: '-'
|
| 11 |
+
- output:
|
| 12 |
+
url: images/3cbe95c3-9e9e-4abb-93fc-7c5493736c2e.png
|
| 13 |
+
text: '-'
|
| 14 |
+
- output:
|
| 15 |
+
url: images/173c6b20-e226-420b-a4ca-78504cc6960c.png
|
| 16 |
+
text: '-'
|
| 17 |
+
- output:
|
| 18 |
+
url: images/6712f751-6e28-47c4-bf79-8b707b33469f.png
|
| 19 |
+
text: '-'
|
| 20 |
+
- output:
|
| 21 |
+
url: images/8825085e-f2da-4374-a919-73fde138167b.png
|
| 22 |
+
text: '-'
|
| 23 |
+
- output:
|
| 24 |
+
url: images/f9537950-0bef-4236-a9f8-b338e253afb5.png
|
| 25 |
+
text: '-'
|
| 26 |
+
base_model: Tongyi-MAI/Z-Image-Turbo
|
| 27 |
+
instance_prompt: aethx
|
| 28 |
+
license: apache-2.0
|
| 29 |
+
---
|
| 30 |
+
# Aetheria_Monnlight Shadow LoRA Z-image turbo
|
| 31 |
+
|
| 32 |
+
<Gallery />
|
| 33 |
+
|
| 34 |
+
## Model description
|
| 35 |
+
|
| 36 |
+
Aetheria_Moonlight Shadow is a concept‑driven LoRA designed to generate poetic moonlit scenes with flowing fabrics, glowing particles, and a strong cool/warm contrast. It is stable, consistent, and works perfectly with both simple and complex prompts.
|
| 37 |
+
|
| 38 |
+
What it can do
|
| 39 |
+
integrated ambient particles (sparks, glowing dust, firefly‑like glow)
|
| 40 |
+
|
| 41 |
+
dress color changes with no collapse
|
| 42 |
+
|
| 43 |
+
fabric changes (silk, chiffon, cotton, heavy/light materials)
|
| 44 |
+
|
| 45 |
+
stable ethnicity variation
|
| 46 |
+
|
| 47 |
+
natural fabric motion
|
| 48 |
+
|
| 49 |
+
cinematic cool/warm moonlight contrast
|
| 50 |
+
|
| 51 |
+
consistent moonlit field environments
|
| 52 |
+
|
| 53 |
+
Dataset structure
|
| 54 |
+
The dataset is divided into thematic folders, each teaching one specific visual element:
|
| 55 |
+
|
| 56 |
+
Cool portraits → moonlight lighting
|
| 57 |
+
|
| 58 |
+
Warm portraits → warm fabrics + warm particles
|
| 59 |
+
|
| 60 |
+
Half‑body motion → fabric movement
|
| 61 |
+
|
| 62 |
+
Half‑body particles → atmospheric glow
|
| 63 |
+
|
| 64 |
+
Close‑ups (warm/cool) → texture and detail consistency
|
| 65 |
+
|
| 66 |
+
Moonlit field environments → field + moon structure
|
| 67 |
+
|
| 68 |
+
Particles only → clean, integrated particle effects
|
| 69 |
+
|
| 70 |
+
This structure allows the model to generalize the concept instead of copying images, resulting in high stability and strong visual identity.
|
| 71 |
+
|
| 72 |
+
## Trigger words
|
| 73 |
+
|
| 74 |
+
You should use `aethx` to trigger the image generation.
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
## Download model
|
| 78 |
+
|
| 79 |
+
|
| 80 |
+
[Download](/jarod2212/Aetheria_Moonlight_Shadow/tree/main) them in the Files & versions tab.
|