Instructions to use Muapi/sketching-architecture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/sketching-architecture with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/sketching-architecture") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 9e6233900e012c730a8dbef79d12d37c767a41c5f018c0aaa39dff04cd362b1d
- Size of remote file:
- 122 kB
- SHA256:
- 5fdaaad5f9a0a5587852628d2eeb11f9108c5233a7c513413ff72b952a70a6a4
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