Instructions to use GraydientPlatformAPI/model_136ma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_136ma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/model_136ma", 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 GraydientPlatformAPI/model_136ma: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/GraydientPlatformAPI/model_136ma/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/model_136ma/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/model_136ma/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 8bc4bc758c9bd7cda13fd46f0528c1deedc7822edd8f6d670ff0cd9706384686
- Size of remote file:
- 492 MB
- SHA256:
- aad7965eb37e3fc7f0619f382ee4c4d448d76df8d257ad958a48b8a871bea3fd
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