Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_bs_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_bs_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_bs_v4", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of a sks leaf with light brown patches/spots and yellowness aroung those patches" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 434aaab8508acc6a974d6cda67f42f2fd449588368575dfe6adf7704445dc9c6
- Size of remote file:
- 7.86 GB
- SHA256:
- e7a3d257990a020905a7faafd23324b0fd522683b261a46cd15cbd2651943247
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