Instructions to use emilianJR/RealisticVision_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emilianJR/RealisticVision_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("emilianJR/RealisticVision_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 emilianJR/RealisticVision_V2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/emilianJR/RealisticVision_V2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://emilianJR/RealisticVision_V2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/emilianJR/RealisticVision_V2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f04b4bf864e36394e67e403df433fb04b3864e56d6328e65128c8aa15a737948
- Size of remote file:
- 492 MB
- SHA256:
- 3ad12025c6b1ada016da91491a00516b6ea75715e189efb4c197b7d6c924635b
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