Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use ButterChicken98/soy_ab_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/soy_ab_test 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/soy_ab_test", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5000/optimizer.bin from ButterChicken98/soy_ab_test: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/ButterChicken98/soy_ab_test/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://ButterChicken98/soy_ab_test/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ButterChicken98/soy_ab_test/resolve/main/checkpoint-5000/optimizer.bin
6.88 GB
- Xet hash:
- 7832cbf2b3101b6e75f099328c0570371954ca1048df2817987466e6d61e74ff
- Size of remote file:
- 6.88 GB
- SHA256:
- 9a28cccf88834f41a4413b66d01878d04b095000e6f8376f139a76f341ee0e35
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