Instructions to use IamCreateAI/Dreamerv4-MC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IamCreateAI/Dreamerv4-MC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IamCreateAI/Dreamerv4-MC", 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
- Xet hash:
- b873ded661def54885234ff94f414ca83fd2e7914500c89e50a949c27ef41450
- Size of remote file:
- 896 MB
- SHA256:
- 088d7932986a6d4047d17622775f863728e47aad8dd297c6ac67a1eac1ca8056
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