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-5000/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-5000/optimizer.bin
- Command line
-
hf download hf://ButterChicken98/pv_eb_v4/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ButterChicken98/pv_eb_v4/resolve/main/checkpoint-5000/optimizer.bin
7.86 GB
- Xet hash:
- 05ca5870fb446e782755d550bd0e2194c18d46cca3969699d3ea15957eedf755
- Size of remote file:
- 7.86 GB
- SHA256:
- bcf4f534ce066557c5100906641820f7762212b447e1e8ab70f4c05a9995cbe6
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