Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_db_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_db_v4 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_v4", dtype=torch.bfloat16, device_map="cuda") prompt = "a close-up of a tmd1 infected tomato leaf, yellowing and curling" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-1000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-3500
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
- checkpoint-5500
- checkpoint-6000
- feature_extractor
- logs
- safety_checker
- scheduler
- text_encoder
- tokenizer
- unet
- vae
- 1.71 kB
- 1.3 kB
- 496 kB xet
- 307 kB xet
- 314 kB xet
- 580 kB xet
- 693 Bytes