Instructions to use EarthnDusk/malware-dream-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/malware-dream-v2 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/malware-dream-v2", 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/malware-dream-v2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/EarthnDusk/malware-dream-v2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://EarthnDusk/malware-dream-v2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/EarthnDusk/malware-dream-v2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 2d9ab164ea5555681400bcae8e53c6b7cda879c3e05c0862560964cae81ed732
- Size of remote file:
- 492 MB
- SHA256:
- 902b47daea8235f52fdca6ffc9b9423f1bc19715e84bab9105e73def7f3fce4b
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