Instructions to use zzed/AAA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zzed/AAA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/epicdream", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zzed/AAA") prompt = "best quality, masterpiece, still frame from a horror movie" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ava

- Prompt
- best quality, masterpiece, still frame from a horror movie
- Negative Prompt
- easynegative, bad-hands-5, [negativebs:0.2], (low quality, worst quality:1.3)
Trigger words
You should use Ava to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for zzed/AAA
Base model
stablediffusionapi/epicdream