Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use ButterChicken98/bact_puls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/bact_puls 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/bact_puls", 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-3000/optimizer.bin from ButterChicken98/bact_puls: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/ButterChicken98/bact_puls/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://ButterChicken98/bact_puls/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ButterChicken98/bact_puls/resolve/main/checkpoint-3000/optimizer.bin
6.88 GB
- Xet hash:
- 7cfa371445f8ab31f8de1be97566c7ed643c3f4e639e507d985e56b985425069
- Size of remote file:
- 6.88 GB
- SHA256:
- 2ac2ea44be9c77416b5afce6329cc2d2887a79136b8dc8fbb5c30af9c94dd6f5
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