Instructions to use cxj009/model_lora_showgirl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cxj009/model_lora_showgirl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/rev-anim", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cxj009/model_lora_showgirl") prompt = "a photo of kkshowgirl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/rev-anim", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("cxj009/model_lora_showgirl")
prompt = "a photo of kkshowgirl"
image = pipe(prompt).images[0]LoRA DreamBooth - cxj009/model_lora_showgirl
These are LoRA adaption weights for stablediffusionapi/rev-anim. The weights were trained on a photo of kkshowgirl using DreamBooth. You can find some example images in the following.
- Downloads last month
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Model tree for cxj009/model_lora_showgirl
Base model
stablediffusionapi/rev-anim


