Instructions to use JiaHWang/camctrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JiaHWang/camctrl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JiaHWang/camctrl", 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:
- b55ea07414727725a6dbf0e51a9e62e32eba3f07ac51638364f5ff0fb8c1639a
- Size of remote file:
- 3.23 GB
- SHA256:
- 1a648f6fbb543dd6ac9f2f9af1ca4bc1bbe460482ee4d7984d50565699e97398
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