Instructions to use v2ray/Anima-2.9B-preview-v1-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use v2ray/Anima-2.9B-preview-v1-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("v2ray/Anima-2.9B-preview-v1-diffusers", 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 tokenizer/tokenizer.json from v2ray/Anima-2.9B-preview-v1-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/v2ray/Anima-2.9B-preview-v1-diffusers/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://v2ray/Anima-2.9B-preview-v1-diffusers/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/v2ray/Anima-2.9B-preview-v1-diffusers/resolve/main/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- 95d6313ccf0b58caabbfa7fecb8e320adc7abe873d69d335637229dc0cb3a383
- Size of remote file:
- 11.4 MB
- SHA256:
- 476870a1f2fb6f6a2759a6ede2383bf9d5d738f17844563b65c91965b722ae09
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