Instructions to use sasa30/ssaassaaddoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sasa30/ssaassaaddoo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sasa30/ssaassaaddoo", 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 sasa30/ssaassaaddoo: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/sasa30/ssaassaaddoo/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sasa30/ssaassaaddoo/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sasa30/ssaassaaddoo/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 6215c4191d289839883fc6b611c9d8067c92a94dee62b663b92ca4124a1b22b7
- Size of remote file:
- 681 MB
- SHA256:
- db9bcec9a8b83824a3d3b06b1d6f30f1fdd225549632e5eb68adae05984ae795
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