Instructions to use baldesco/base_traditional_21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use baldesco/base_traditional_21 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("baldesco/base_traditional_21", dtype=torch.bfloat16, device_map="cuda") 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
Ctrl+K
- checkpoint-10000
- checkpoint-12500
- checkpoint-15000
- checkpoint-17500
- checkpoint-20000
- checkpoint-22500
- checkpoint-2500
- checkpoint-25000
- checkpoint-27500
- checkpoint-30000
- checkpoint-32500
- checkpoint-35000
- checkpoint-37500
- checkpoint-40000
- checkpoint-5000
- checkpoint-7500
- feature_extractor
- logs
- scheduler
- text_encoder
- tokenizer
- unet
- vae
- 1.48 kB
- 543 Bytes