Instructions to use EarthnDusk/MalwareDream_Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/MalwareDream_Final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EarthnDusk/MalwareDream_Final", 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 EarthnDusk/MalwareDream_Final: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/EarthnDusk/MalwareDream_Final/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://EarthnDusk/MalwareDream_Final/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/EarthnDusk/MalwareDream_Final/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 98873d18f4fe521008a26eba20d4773246b9de6ddac65b4f8c8d145c71622543
- Size of remote file:
- 492 MB
- SHA256:
- c11061dd6ed1b563d5fa2a7b61ab68a73a866c5d2b50c5422a63354e17a6b36c
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