Instructions to use MirageML/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MirageML/test", 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
Commit History
-
Upload logs/dreambooth/events.out.tfevents.1669810167.ip-172-31-91-177.ec2.internal.33.0 with huggingface_hub
1892914 -
Upload logs/dreambooth/events.out.tfevents.1669792105.ip-172-31-5-101.ec2.internal.33.0 with huggingface_hub
5e29762 -
Upload logs/dreambooth/events.out.tfevents.1669786311.ip-172-31-2-146.ec2.internal.33.0 with huggingface_hub
dd6784b -
Upload logs/dreambooth/events.out.tfevents.1669784610.ip-172-31-79-4.ec2.internal.33.0 with huggingface_hub
be74a27 -
Upload logs/dreambooth/1669810167.657981/hparams.yml with huggingface_hub
fbfc983 -
Upload logs/dreambooth/1669810167.6568787/events.out.tfevents.1669810167.ip-172-31-91-177.ec2.internal.33.1 with huggingface_hub
e889fe1 -
Upload logs/dreambooth/1669792105.6260853/hparams.yml with huggingface_hub
37d032a -
Upload logs/dreambooth/1669792105.6250415/events.out.tfevents.1669792105.ip-172-31-5-101.ec2.internal.33.1 with huggingface_hub
48b0fe1 -
Upload logs/dreambooth/1669786311.0839796/hparams.yml with huggingface_hub
ee772c3 -
Upload logs/dreambooth/1669786311.0828915/events.out.tfevents.1669786311.ip-172-31-2-146.ec2.internal.33.1 with huggingface_hub
c825f5d -
Upload logs/dreambooth/1669784610.4973402/hparams.yml with huggingface_hub
d7a4e01 -
Upload logs/dreambooth/1669784610.4962916/events.out.tfevents.1669784610.ip-172-31-79-4.ec2.internal.33.1 with huggingface_hub
24234db