Instructions to use GraydientPlatformAPI/araminta-bv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/araminta-bv4 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/araminta-bv4", 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/araminta-bv4: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/araminta-bv4/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/araminta-bv4/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/araminta-bv4/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- df881d4689752a65283a4b5e5aeef05c721ea98b27aebf7f528ef4afa77e0615
- Size of remote file:
- 246 MB
- SHA256:
- 790fc310b1cf227f5295c69b12cee58188f76aa418a9ee00efa2c38a4fe8ee99
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