Instructions to use Muapi/vhs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/vhs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/vhs") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vhs.safetensors from Muapi/vhs: direct link, hf CLI and curl.
- Browser
- Download file 228 MB
-
https://huggingface.co/Muapi/vhs/resolve/main/vhs.safetensors
- Command line
-
hf download hf://Muapi/vhs/vhs.safetensors
-
curl -L -o vhs.safetensors https://huggingface.co/Muapi/vhs/resolve/main/vhs.safetensors
228 MB
- Xet hash:
- 07a57cae7e03e57c379a994790eb987672741f2c68fea7d6d187f2faf043588c
- Size of remote file:
- 228 MB
- SHA256:
- ac374d6e0615731054cd1422b8146363763d2e798799ae5c8548dd266efda2c1
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