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
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Download README.md from v2ray/Anima-2.9B-preview-v1-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 726 Bytes
-
https://huggingface.co/v2ray/Anima-2.9B-preview-v1-diffusers/resolve/main/README.md
- Command line
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hf download hf://v2ray/Anima-2.9B-preview-v1-diffusers/README.md
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curl -L -o README.md https://huggingface.co/v2ray/Anima-2.9B-preview-v1-diffusers/resolve/main/README.md
726 Bytes
| license: other | |
| license_name: circlestone-labs-non-commercial-license | |
| license_link: https://huggingface.co/circlestone-labs/Anima/resolve/main/LICENSE.md | |
| language: | |
| - en | |
| base_model: | |
| - Gazingstars123/Anima-2.9B | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| # Anima 2.9B Preview V1 Diffusers | |
| This is a [diffusers](https://github.com/huggingface/diffusers)-loadable version of [Gazingstars123/Anima-2.9B (Preview V1)](https://huggingface.co/Gazingstars123/Anima-2.9B/blob/main/Anima-2.9B-preview-v1.safetensors). | |
| Usage: | |
| ```py | |
| import torch | |
| import diffusers | |
| pipeline = diffusers.AnimaModularPipeline.from_pretrained("v2ray/Anima-2.9B-preview-v1-diffusers") | |
| pipeline.load_components(torch_dtype=torch.bfloat16) | |
| ``` | |