Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_lb_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_lb_v1 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_lb_v1", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of a sks leaf" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d038f1837c686135c7dab570e169b9678fb5e53e542388b8fc64bbbaa140194f
- Size of remote file:
- 7.86 GB
- SHA256:
- 1878df7bc180d7d2500e36fa41fb72db68f35c6be408058c9f4200ee71595684
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