Instructions to use dsadsdasd/ours with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dsadsdasd/ours with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dsadsdasd/ours", 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
Download flashworld/model.ckpt from dsadsdasd/ours: direct link, hf CLI and curl.
- Browser
- Download file 20.9 GB
-
https://huggingface.co/dsadsdasd/ours/resolve/main/flashworld/model.ckpt
- Command line
-
hf download hf://dsadsdasd/ours/flashworld/model.ckpt
-
curl -L -o model.ckpt https://huggingface.co/dsadsdasd/ours/resolve/main/flashworld/model.ckpt
20.9 GB
- Xet hash:
- 926a7e5ea65d2f7d66b4169c44424ca5b82dca9f91e43d88bd9992463cbc65c3
- Size of remote file:
- 20.9 GB
- SHA256:
- c407694b5cd4a0f05016d4c6a74f35d3cf368a4064e18c2ce47c0ca903dfdccb
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