Instructions to use AIYangXiao/DMU_Birds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIYangXiao/DMU_Birds 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AIYangXiao/DMU_Birds") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- .ipynb_checkpoints
- checkpoint-100
- checkpoint-1000
- checkpoint-150
- checkpoint-1500
- checkpoint-200
- checkpoint-2000
- checkpoint-250
- checkpoint-2500
- checkpoint-300
- checkpoint-3000
- checkpoint-350
- checkpoint-3500
- checkpoint-400
- checkpoint-4000
- checkpoint-450
- checkpoint-4500
- checkpoint-50
- checkpoint-500
- checkpoint-5000
- checkpoint-550
- checkpoint-600
- checkpoint-650
- checkpoint-700
- checkpoint-750
- checkpoint-800
- checkpoint-850
- checkpoint-900
- checkpoint-950
- 2.02 kB
- 1.33 kB
- 1.15 MB xet
- 1.03 MB xet
- 1.1 MB xet
- 1.05 MB xet
- 3.03 kB
- 372 MB xet