Instructions to use galleri5-ai/analogMadness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use galleri5-ai/analogMadness with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("galleri5-ai/analogMadness", 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:
- 5504729c0e14ab10e3f30dbd003722c798544e1a8393c3c172ac8e069c6f42ef
- Size of remote file:
- 492 MB
- SHA256:
- adf0df110be78c714aa95d5fbad3231fb3b6723151e517a529044a4697702dca
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