Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use sj98/wiki_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sj98/wiki_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sj98/wiki_2", dtype=torch.bfloat16, device_map="cuda") prompt = "a sks painting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from sj98/wiki_2: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/sj98/wiki_2/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://sj98/wiki_2/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sj98/wiki_2/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 561bd6f13b9ad6538c4dc79196ea88f8980e53edb9131f3129a8b4bc7b59a20a
- Size of remote file:
- 6.88 GB
- SHA256:
- d6390d4764241464140d3a7c4f8e6e49e0d38e67dfa96b5ae9e76a83a4a5a54f
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