Instructions to use enoreyes/sks-man with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use enoreyes/sks-man with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V1.3_Fantasy.ai", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("enoreyes/sks-man") prompt = "sks man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRA DreamBooth - sks-man
These are LoRA adaption weights for SG161222/Realistic_Vision_V1.3_Fantasy.ai. The weights were trained on the instance prompt "sks man" using DreamBooth. You can find some example images in the following.
Test prompt: Photo of sks man, medium closeup photo, handsome man, detailed (wrinkles, blemishes!, folds!, moles, viens, pores!!, skin imperfections:1.1), specular lighting, dslr, ultra quality, sharp focus, tack sharp, dof, film grain, centered, Fujifilm XT3, crystal clear
- Downloads last month
- 1
Model tree for enoreyes/sks-man
Base model
SG161222/Realistic_Vision_V1.3


