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
Download image_1.png from ButterChicken98/pv_eb_v3: direct link, hf CLI and curl.
- Browser
- Download file 491 kB
-
https://huggingface.co/ButterChicken98/pv_eb_v3/resolve/main/image_1.png
- Command line
-
hf download hf://ButterChicken98/pv_eb_v3/image_1.png
-
curl -L -o image_1.png https://huggingface.co/ButterChicken98/pv_eb_v3/resolve/main/image_1.png
491 kB

- Xet hash:
- deaeecea98c078e91e30cf6e101b1587e52d2669ee0b4a62d2df0a5da8c3a7c8
- Size of remote file:
- 491 kB
- SHA256:
- aaf957f7fda8ff2694606238ab6e38921c438a75beb4e39db23e6915be7140fc
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