Instructions to use panopstor/EveryDream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use panopstor/EveryDream with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("panopstor/EveryDream", 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
- Xet hash:
- 43831e05d888d4d25d6729d46678a4ff31716c577e2d5ac191376acd01535ca1
- Size of remote file:
- 4.27 GB
- SHA256:
- e2b3fec63dc30a805b4d7c9b2b5d313735df4790960973c8f041cde3fbedcba3
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