Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_eb_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_eb_v1 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_v1", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of a sks leaf" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from ButterChicken98/pv_eb_v1: direct link, hf CLI and curl.
- Browser
- Download file 7.86 GB
-
https://huggingface.co/ButterChicken98/pv_eb_v1/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://ButterChicken98/pv_eb_v1/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ButterChicken98/pv_eb_v1/resolve/main/checkpoint-2000/optimizer.bin
7.86 GB
- Xet hash:
- 0ba612d3c8d2cff885f509d092a9644c5980cb7a7b56e5a1266975f3f3970e5f
- Size of remote file:
- 7.86 GB
- SHA256:
- 9f80f4b84f93fba3c28e9bfd73f82ce7287018db38f78b0a006d392062457d9c
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