Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_db_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_db_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ButterChicken98/pv_db_v2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of yellowleafCurlVirus leaf" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-1000
- checkpoint-1200
- checkpoint-1400
- checkpoint-1600
- checkpoint-1800
- checkpoint-200
- checkpoint-2000
- checkpoint-400
- checkpoint-600
- checkpoint-800
- feature_extractor
- logs
- safety_checker
- scheduler
- text_encoder
- tokenizer
- unet
- vae
- 1.71 kB
- 1.21 kB
- 479 kB xet
- 480 kB xet
- 381 kB xet
- 574 kB xet
- 679 Bytes