Instructions to use Avrik/mirrors-edge-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avrik/mirrors-edge-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Avrik/mirrors-edge-diffusion", 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
Upload MirrorsEdge.ckpt
Browse files- MirrorsEdge.ckpt +3 -0
MirrorsEdge.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4ff56c9cfd712090e2103987843210aa1d6ff6021e56d83465c02871f8f2bb0
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size 2132856622
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