Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_eb_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_eb_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_eb_v4", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of a sks leaf with slight dark brown spots, yellowness aroung those spots" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-6000/optimizer.bin from ButterChicken98/pv_eb_v4: direct link, hf CLI and curl.
- Browser
- Download file 7.86 GB
-
https://huggingface.co/ButterChicken98/pv_eb_v4/resolve/main/checkpoint-6000/optimizer.bin
- Command line
-
hf download hf://ButterChicken98/pv_eb_v4/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ButterChicken98/pv_eb_v4/resolve/main/checkpoint-6000/optimizer.bin
7.86 GB
- Xet hash:
- 2629b8d2c6cac228501ed92fe881665dde9c9b7430e338652a3ab8f2a92b1142
- Size of remote file:
- 7.86 GB
- SHA256:
- dfb99cefa4a4372b39d5c8cb04abbeb7556c2cd259a7972972bb9effffd1e09a
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