cjwbw/distilgpt2-stable-diffusion-v2 🔢📝 → 📝
About
Descriptive stable diffusion prompts generation using GPT2
Example Output
"a cat sitting"
Output
a cat sitting in a coffee shop on the moon surface, closeup photo-real delicate ceramic porcelain sculpture of an ornate detailed mermaid as emma watson by rafael and lee madgwick with intricate white flowery details :: clockwork orange color scheme:: full body composition: volumetric lightsand foggy atmosphere. epic elegant pose!!! anime lightning!! cinematic shot
a cat sitting on a bench in the park, beautiful digital art by greg rutkowski and thomas kinkade with ambient lighting. highly detailed painting of an orange colored fox standing up next to him holding white fluffy dog that is looking at it from bay windowsill while wearing headphones!!! trending artwork 4k hd render very coherent symmetrical perfect anatomy portrait!! smooth sharp focus illustration highlights light
a cat sitting on a table drinking beer from an orange mushroom in the desert. digital art, trending at pixiv's - n 9 5 4 0 s horror movie still by dan mumford and thomas kinkade 8 3 2 w 7 6 hq sharp contrast intricate details award winning detailed octane render unreal engine beautiful colors masterpiece many cake foggy like ghibliak tachik
a cat sitting in a chair, digital art by edward hopper and james gilleard painting highly detailed trending on arstation station cinematic lighting close up shot photograph detail cyberpunk 2077 colors octane render excellent composition dramatic studio action scene aesthetic 8k ultra hd resolution smooth sharp focus oil painted with colored paint splashes of canvas concept design matte drawing stylized vegetation forest fisheye
a cat sitting on a chair reading an old book, digital art in the style of pixar trending by james gurney 1 0 8 7 studio lighting product photography highly detailed realism hd shadows depth 3 2 k. 5 d ue 6 as background bokeh sigma f / 4 - 50 mm nikon z 9 canon eos r | ghost shipwra during golden
Performance Metrics
All Input Parameters
{
"top_k": 50,
"prompt": "a cat sitting",
"max_length": 80,
"temperature": 0.9,
"repitition_penalty": 1.2,
"num_return_sequences": 5
}
Input Parameters
- top_k
- Number of tokens to sample from at each step with top_k sampling
- prompt
- The beginning of the prompt
- max_length
- Maximum number of tokens for the output of the model
- temperature
- A higher temperature will produce more diverse results, but with a higher risk of less coherent text
- repitition_penalty
- Penalty value for each repetition of a token
- num_return_sequences
- Number of results to generate
Output Schema
Output
Version Details
- Version ID
d53a494f0f1f4130d39cbe574c25d267910e1fce4e7f4b34fe15f22976aed332- Version Created
- January 31, 2023