Instructions to use jayshreeanand/asmug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jayshreeanand/asmug with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jayshreeanand/asmug", dtype=torch.bfloat16, device_map="cuda") prompt = "asmug" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from jayshreeanand/asmug: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/jayshreeanand/asmug/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://jayshreeanand/asmug/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jayshreeanand/asmug/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 56432a200469fa8c18ae24c52fa2b79d3491a3e64c4abe76776c27c24d02f76c
- Size of remote file:
- 492 MB
- SHA256:
- 1c8104cd778af09bc5f5e2640ecbbc62ad53c5925ea9a05c778a33cd0a273c21
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