Instructions to use no3/mia-sd-1.5-beta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use no3/mia-sd-1.5-beta1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("no3/mia-sd-1.5-beta1", 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
Commit History
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1) 9a70501
add a note about convert diffusers to checkpoint file 938c824
Update README.md 634a095
add the concept images 16db4d5
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