Instructions to use YaYaB/sd-magic-diffusers-test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YaYaB/sd-magic-diffusers-test2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YaYaB/sd-magic-diffusers-test2", 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 YaYaB/sd-magic-diffusers-test2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/YaYaB/sd-magic-diffusers-test2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://YaYaB/sd-magic-diffusers-test2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YaYaB/sd-magic-diffusers-test2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 707f58fa9cd022db837d6bde645a74be612afd1c752fe7f6f145fdf3796d8e07
- Size of remote file:
- 492 MB
- SHA256:
- 485096afb4482023ec75c414a5373ba300aa91a4cc2ab534074b5748d6b91ee8
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