Instructions to use GraydientPlatformAPI/fenris-164 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/fenris-164 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/fenris-164", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/model.safetensors from GraydientPlatformAPI/fenris-164: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/fenris-164/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/fenris-164/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/fenris-164/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- 68d2b1e489db8aa91d39bce69be8aedc4db8bb7ef0bd857dfbc54ab36fb6d26b
- Size of remote file:
- 246 MB
- SHA256:
- 98df23a6d651100540339962664aba854ab402153178aa57229e34c5f76a7155
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