Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use ButterChicken98/dec_logs_bact_v5_balanced_rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/dec_logs_bact_v5_balanced_rag 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_bact_v5_balanced_rag", torch_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
- Xet hash:
- de6a551d59cf3f1bc64fe9656a5bf11f27f9b58988facac58c9232385ecebdff
- Size of remote file:
- 6.88 GB
- SHA256:
- 23d78994866a5a4853326f7d9edee98705cd31617e9c9ce358a0ef88c5a6ec99
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