Instructions to use Reversorie/v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Reversorie/v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Reversorie/v2") prompt = "fabric pattern of small flowers" 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("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Reversorie/v2")
prompt = "fabric pattern of small flowers"
image = pipe(prompt).images[0]LoRA DreamBooth - v2
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on the instance prompt "fabric pattern of small flowers" using DreamBooth. You can find some example images in the following.
- Downloads last month
- 5
Model tree for Reversorie/v2
Base model
stabilityai/stable-diffusion-2-1-base


