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:
- f078aaeac0573547199c1fbb3271a3bb34efa2bb7af4aaa1e19db29bd3df2fb9
- Size of remote file:
- 3.3 GB
- SHA256:
- 2e6fb0eea13ed80a46f276de339506b8b24294ab4d71ffc2fe594375343c1187
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