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 Settings
- Draw Things
- DiffusionBee
Download image_0.png from ButterChicken98/pv_bs_v4: direct link, hf CLI and curl.
- Browser
- Download file 425 kB
-
https://huggingface.co/ButterChicken98/pv_bs_v4/resolve/main/image_0.png
- Command line
-
hf download hf://ButterChicken98/pv_bs_v4/image_0.png
-
curl -L -o image_0.png https://huggingface.co/ButterChicken98/pv_bs_v4/resolve/main/image_0.png
425 kB

- Xet hash:
- e657a921eb4f608907c87504c039366b6d326db19dbb8c3b632a1167b732c060
- Size of remote file:
- 425 kB
- SHA256:
- 9a8c3fab0b76fb4dfdf2b0e1ab6534755cb73451ab42e06777457603b739a155
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