Instructions to use udg/memix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/memix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/memix", 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:
- 51c05ace9c6d017b690515fd6219d8526ebcad421d3085b640e05de7836da800
- Size of remote file:
- 492 MB
- SHA256:
- 58030592c005ef0b7b6be71c2c8a161e0058be963ce0c7ce17d0859f6fbdc0e8
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