Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
Instructions to use stablediffusionapi/my-stablediffusion-lora-2238 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/my-stablediffusion-lora-2238 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/DreamShaper", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stablediffusionapi/my-stablediffusion-lora-2238") prompt = "material, mahogany, floor, interior, living room," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
End of training
Browse files
pytorch_lora_weights.safetensors
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pytorch_lora_weights_kohya.safetensors
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