Instructions to use Novachrono93/AOM3A1B-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Novachrono93/AOM3A1B-converted with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Novachrono93/AOM3A1B-converted", 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:
- f7d33ff77208308ad2ab65d357af0ad4e7ca9a59ab393d35d39496d0446c90d7
- Size of remote file:
- 167 MB
- SHA256:
- 92ec7efae42a02a3f0ca06d71e7d4d01a58a5a1f7eb406648fdc13354bd12b68
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