Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use ButterChicken98/dec_logs_ab_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/dec_logs_ab_v2 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/dec_logs_ab_v2", 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
- Draw Things
- DiffusionBee
- Xet hash:
- d7a1ac6bd1bc0e8de607d2ad502100a8731b2726de9305b7655397b008b9cd95
- Size of remote file:
- 6.88 GB
- SHA256:
- c5741a014b0e67f189472d283cb13937fb685fb84595f4000541be028fa6dd6e
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