Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_eb_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_eb_v3 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_eb_v3", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of a leaf with dark brown spots and concentric ring patterns, showing early blight. hd, 4k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 9441a512ee0e8d2003fc57c319331e840b208226360dccee174430581bd8cfd4
- Size of remote file:
- 528 kB
- SHA256:
- bcf934790d028514b5553eafc06c7b6aba42f79dd6305e730547aa971559a748
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