Instructions to use abdd68/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abdd68/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("abdd68/output") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-0
- checkpoint-100
- checkpoint-1000
- checkpoint-1100
- checkpoint-1200
- checkpoint-200
- checkpoint-300
- checkpoint-400
- checkpoint-500
- checkpoint-600
- checkpoint-700
- checkpoint-800
- checkpoint-900
- checkpoint-user0-epoch10
- checkpoint-user0-epoch100
- checkpoint-user0-epoch2
- checkpoint-user0-epoch25
- checkpoint-user0-epoch250
- checkpoint-user0-epoch260
- checkpoint-user0-epoch40
- checkpoint-user0-epoch5
- checkpoint-user0-epoch50
- checkpoint-user0-epoch500
- checkpoint-user0-epoch6
- checkpoint-user1-epoch10
- checkpoint-user1-epoch100
- checkpoint-user1-epoch2
- checkpoint-user1-epoch25
- checkpoint-user1-epoch250
- checkpoint-user1-epoch3
- checkpoint-user1-epoch40
- checkpoint-user1-epoch5
- checkpoint-user1-epoch50
- checkpoint-user1-epoch6
- checkpoint-user2-epoch10
- checkpoint-user2-epoch100
- checkpoint-user2-epoch2
- checkpoint-user2-epoch25
- checkpoint-user2-epoch250
- checkpoint-user2-epoch40
- checkpoint-user2-epoch5
- checkpoint-user2-epoch50
- checkpoint-user2-epoch6
- checkpoint-user3-epoch10
- checkpoint-user3-epoch100
- checkpoint-user3-epoch2
- checkpoint-user3-epoch25
- checkpoint-user3-epoch250
- checkpoint-user3-epoch40
- checkpoint-user3-epoch5