Instructions to use Fred99774/vlaradeliberate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/vlaradeliberate with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fred99774/vlaradeliberate", 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/pytorch_model.bin from Fred99774/vlaradeliberate: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Fred99774/vlaradeliberate/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Fred99774/vlaradeliberate/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Fred99774/vlaradeliberate/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 05aac337999ca8eb7c3de9ee36263b51c48657a7f0a249c1a6d8e0936cec9606
- Size of remote file:
- 246 MB
- SHA256:
- ee76754546d19c9513f19fb6b667d47d1fb838320eb8bf5ba357132992058e24
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