Instructions to use harishforaiandml/Sulphur-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harishforaiandml/Sulphur-2-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("harishforaiandml/Sulphur-2-base", 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 sulphur_dev_fp8mixed.safetensors from harishforaiandml/Sulphur-2-base: direct link, hf CLI and curl.
- Browser
- Download file 29.2 GB
-
https://huggingface.co/harishforaiandml/Sulphur-2-base/resolve/main/sulphur_dev_fp8mixed.safetensors
- Command line
-
hf download hf://harishforaiandml/Sulphur-2-base/sulphur_dev_fp8mixed.safetensors
-
curl -L -o sulphur_dev_fp8mixed.safetensors https://huggingface.co/harishforaiandml/Sulphur-2-base/resolve/main/sulphur_dev_fp8mixed.safetensors
29.2 GB
- Size of remote file:
- 29.2 GB
- SHA256:
- 41c999575859c528ff108022246a5524960a778c18742696971c9b0aadb4f70f
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