Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use ButterChicken98/dec_logs_ab_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_ab_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_ab_v5_balanced_rag", 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:
- 1d71195d6daf01a0d5108976985aa180d5641a2e739850a48930ded70dd11c19
- Size of remote file:
- 6.88 GB
- SHA256:
- 6197046d74caa35ca71237c73d59ee1b65499b617fd246d26700ef7b9f5a4e10
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