Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lora
Instructions to use pareesa/model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pareesa/model-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("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pareesa/model-lora") prompt = "Dog over the moon" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 66c06c748185e52e9663846e63874d392c96c85acd990cad497212897171b0c0
- Size of remote file:
- 335 MB
- SHA256:
- 8b7010872555f03f3c7c94b3e510546755d6df0be9f06495b6bb01cc5d368779
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