Instructions to use saddam213/Components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saddam213/Components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("saddam213/Components", 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 GLMImage_VisionEncoder/tokenizer.json from saddam213/Components: direct link, hf CLI and curl.
- Browser
- Download file 23.8 MB
-
https://huggingface.co/saddam213/Components/resolve/9a4f330ea2687af4cacbee3ecd5ffe04bb07bdc5/GLMImage_VisionEncoder/tokenizer.json
- Command line
-
hf download hf://saddam213/Components@9a4f330ea2687af4cacbee3ecd5ffe04bb07bdc5/GLMImage_VisionEncoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/saddam213/Components/resolve/9a4f330ea2687af4cacbee3ecd5ffe04bb07bdc5/GLMImage_VisionEncoder/tokenizer.json
23.8 MB
- Xet hash:
- 08aad8d607eacf6186585c0a6942b0c9eb0ccead2b3a9ec39d90e0af4c62a64e
- Size of remote file:
- 23.8 MB
- SHA256:
- 7626ee04802e81cadec0dbb983f2278aa24240b3b5c86a0b7831199ef25c6652
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