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:
- b3ec085a7d0bd4bffbee17d8d80e44d498e6c587719ac0932675b9b1f20c26b8
- Size of remote file:
- 167 MB
- SHA256:
- fe24a5d9cb0132584c85ba8803c7c8434a7ca9645817ffc7f9cfede651c70d55
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