Instructions to use MirageML/lowpoly-environment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/lowpoly-environment 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/lowpoly-environment", 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
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (b03255d096278419b5748b9c9e976b113100e369) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>11e729c
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (cf0187ce904cb68154c3c1cd0e25091932fc1a8a) Co-authored-by: Brendan Trueb <mindsailor@users.noreply.huggingface.co>1c5e9fc
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