Instructions to use ACCC1380/realstyle2_anima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ACCC1380/realstyle2_anima with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ACCC1380/realstyle2_anima") 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 lora_scripts_next_source.zip from ACCC1380/realstyle2_anima: direct link, hf CLI and curl.
- Browser
- Download file 52.3 MB
-
https://huggingface.co/ACCC1380/realstyle2_anima/resolve/main/lora_scripts_next_source.zip
- Command line
-
hf download hf://ACCC1380/realstyle2_anima/lora_scripts_next_source.zip
-
curl -L -o lora_scripts_next_source.zip https://huggingface.co/ACCC1380/realstyle2_anima/resolve/main/lora_scripts_next_source.zip
52.3 MB
- Xet hash:
- 0cb95b0a64702858f14af1e997cdeb4e4a4e2738891b98532b201623c7222e47
- Size of remote file:
- 52.3 MB
- SHA256:
- 847ee7ba82d98d76285a430b0be4b4431b2e7c9719787db9711ae56f1fe24aa1
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