Instructions to use MnLgt/cb2_rugs_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MnLgt/cb2_rugs_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MnLgt/cb2_rugs_lora") prompt = "sks chair" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MnLgt/cb2_rugs_lora")
prompt = "sks chair"
image = pipe(prompt).images[0]LoRA DreamBooth - jordandavis/cb2_rugs_lora
These are LoRA adaption weights for runwayml/stable-diffusion-inpainting. The weights were trained on sks chair using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
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