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 AceStepXL_ConditionEncoder/diffusion_pytorch_model.safetensors from saddam213/Components: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/saddam213/Components/resolve/main/AceStepXL_ConditionEncoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://saddam213/Components/AceStepXL_ConditionEncoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/saddam213/Components/resolve/main/AceStepXL_ConditionEncoder/diffusion_pytorch_model.safetensors
1.22 GB
- Xet hash:
- 06658575d7e6963a21f50e3924f0a21cc8a3f94d7126eecc6ebf19b1c13b6239
- Size of remote file:
- 1.22 GB
- SHA256:
- ca111ca95858c8d3c3678c986dda03df20778c0de009f57109c1052866d522b2
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