Instructions to use HTBris/converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HTBris/converted with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HTBris/converted", 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 novaFurryXL_ilV130_diffusers/text_encoder_2/model.safetensors from HTBris/converted: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/HTBris/converted/resolve/main/novaFurryXL_ilV130_diffusers/text_encoder_2/model.safetensors
- Command line
-
hf download hf://HTBris/converted/novaFurryXL_ilV130_diffusers/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HTBris/converted/resolve/main/novaFurryXL_ilV130_diffusers/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- 75c14361e8309ffd14fb758c9cb6f2db4ff60e17281096b847f583e5f6dd6a38
- Size of remote file:
- 1.39 GB
- SHA256:
- 0ec7867d60a51655a359d73b74390f443ff340898dd1920e1cb7d38512c824b2
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