Instructions to use rabidgremlin/sd-db-block-world-rtx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rabidgremlin/sd-db-block-world-rtx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rabidgremlin/sd-db-block-world-rtx", 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
Download text_encoder/pytorch_model.bin from rabidgremlin/sd-db-block-world-rtx: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/rabidgremlin/sd-db-block-world-rtx/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://rabidgremlin/sd-db-block-world-rtx/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rabidgremlin/sd-db-block-world-rtx/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 80b93a34ed4c1d6adad3eca256fe7611a71d1dcd72a51b63ad773cc3cb262217
- Size of remote file:
- 492 MB
- SHA256:
- a3790a2176f18b970103a69039fedb4dbeef1f91eaef11bd0aef36f3bb5f74e4
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