Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use AZAKEERO/arabic-architecture-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AZAKEERO/arabic-architecture-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("AZAKEERO/arabic-architecture-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 110d4a67146ec9183cdcf67d36e66c0576e83b78d0d58ea74e7696c244d791ef
- Size of remote file:
- 643 kB
- SHA256:
- 5f0c0d1d909513c1d3771ec6f88f09dfa31326a830eaa9a784e7c5ff67da7d8d
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