Recommended Negative Prompts
realisticvision-negative-embedding
(semi-realistic,cgi,3d,render,sketch,cartoon,drawing,anime:1.4),text,close up,cropped,out of frame,worst quality,low quality,jpeg artifacts,ugly,duplicate,morbid,mutilated,extra fingers,mutated hands,by realisticvision-negative-embedding,poorly drawn hands,poorly drawn face,mutation,deformed,blurry,dehydrated,bad anatomy,bad proportions,extra limbs,cloned face,disfigured,gross proportions,malformed limbs,missing arms,missing legs,extra arms,extra legs,fused fingers,too many fingers,long neck
| samplers | Euler a | |
| steps | 25 | |
| cfg | 7 | |
| resolution | 384×640 | |
Recommended Hires (High-Resolution) Parameters
| upscaler | Latent | |
| upscale | 1.5 | |
| denoising strength | 0.5 | |
Tips
- To use this embedding, download it and place it in your embeddings folder. Activate it in the negative prompt by typing its filename without the extension.
Version Highlights
Trained for 5342 steps on 5230 512×768 images (I hit stop a bit too late heh). The basic training parameters are 0.005 base learning rate, batch size 1, 1 grad, CosingAnnealingWarmupRestarts Scheduler activated with a 500 step cycle, advanced adamW parameter options were activated but not otherwise touched. No captions were made or used, style.txt was used as the prompt template file. I ran 1 batch because I decided to turn off xformers, and all my card could hand was a batch size of 1 512×768. Barely. The extension I used for training was this one.
Due to the content of the training images I will not be uploading them, instead I will point to the reddit post from which I derived the training image prompt: link. In order to generate the training images you would need to put the negative prompt into the positive, put the positive into the negative, and remove all subject focused words. All other parameters should be the same- such as the step count and cfg, sampler and so on.
This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I have not tested it on other models.
To use this embedding you need to download it, put it in your embeddings folder, and then activate it in the negative prompt by typing out it’s filename in the negative prompt. By default that will be “realisticvision-negative-embedding” (do not enter the file extension in the negative prompt). If you don’t like that activation phrase, then you can change the filename to whatever you want, and that becomes the new activation phrase.
