Instructions to use rexwang8/stellar-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rexwang8/stellar-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("rexwang8/stellar-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
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README.md
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Version: 0.2 (Nebula)
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Stable Diffusion 1.5 finetuned on high quality processed space imagery.
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V0.2 (Codename: Galaxy) - 264 image dataset
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V0.1 - 91 image dataset
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```
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Version: 0.2 (Nebula) (Dreambooth / .ckpt formats)
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Stable Diffusion 1.5 finetuned on high quality processed space imagery.
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V0.2 (Codename: Galaxy) - 264 image dataset
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V0.1 - 91 image dataset
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---
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# Contact me
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All feedback, criticisms, complaints, etc to discord preferably.
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wang5009@purdue.edu
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Discord: bob#1236
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Donate: https://ko-fi.com/rexwang
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