Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use bjkyung/voc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bjkyung/voc 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-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bjkyung/voc") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-1000
- checkpoint-10000
- checkpoint-11000
- checkpoint-12000
- checkpoint-13000
- checkpoint-14000
- checkpoint-15000
- checkpoint-2000
- checkpoint-3000
- checkpoint-4000
- checkpoint-5000
- checkpoint-6000
- checkpoint-7000
- checkpoint-8000
- checkpoint-9000
- 1.52 kB
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- 3.36 MB xet