Instructions to use hjgp/CRD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/CRD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/CRD", 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:
- e7e073082260d5865f15b5a42e3c683dc419099d2361caa9a07cd4d5513b9d9e
- Size of remote file:
- 335 MB
- SHA256:
- 7f52a64ee6c0829712c1b189050f3182bc46a7d5e5ab76bfb666c5a2285ce492
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