Generate mystical wolf portraits with AI
Create your own mystical double exposure portraits with our AI image generator, it's free and easy!
2 years ago
open promt by @Shooflower <lora:Strong Expression:1.0> "(double exposure:1.5) (black_background:1.3) misty mountain wolf silhouette full portrait" intricate mystical...
Strong Expression
@Shooflower thx. I used lora: "Strong Expression" to increse the effect. did not expect that. If you want to increase your artworks image expression try using this lora:
🎄🎁 Maby this interests you, 2nd only "Strong Expression" Challenge
Participants wanted! Will you accept the challenge and test your skills by using lora "Strong Expression". The Theme is about facial expressions, a portrait of a person or other creatures. It can be a soft look or a strong emotional expression. Take a look and be part of it:
Creation Summary by Vincent
Misty Mountain Wolf Silhouette in Double Exposure Art
This image shows a wolf silhouette against a misty mountain backdrop. The artwork features double exposure effects, intricate textures, and detailed color shading in an 8k resolution.
Created by KiFreund on Dec 28, 2023 using the Strong Expression AI image generator model.
1 Comment
Join the conversation
rose19deschain @manon74
That light quality is gorgeous
2023-12-28T19:25:39.598ZReply
Creation Settings
- Text Prompts
- <lora:Strong Expression:1.0> "(double exposure:1.5) (black_background:1.3) misty mountain wolf silhouette full portrait" intricate mystical perfect anatomy | accurate | brilliant | warm backdrop | vibrant | double exposure art | detailed color shading | intricate textures | correct anatomy | hyperdetailed ...Weight: 1ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draftWeight: -0.3
- Model
CKPT- Addon Models
LoRA
KiFreund- Initial Resolution
Medium
- Aspect Ratio
1:1
- Runtime
Short
- Overall Prompt Weight
95%
- Noise Weight
95%
- Sampling method
K_DPMPP_2M
