Instructions to use JBrightmanAI/dreamlike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JBrightmanAI/dreamlike with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JBrightmanAI/dreamlike", torch_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:
- 35ca176799ca19ea98fbd1fed18631b25495a0c53097f1e45bddf90f6e60e46b
- Size of remote file:
- 908 kB
- SHA256:
- fa70cd5f962f1383fb657a03af852dc5d8033560e46956c34b7a8d1689613d23
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