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
-
hf download hf://v2ray/Anima-2.9B-preview-v1-diffusers/README.md
-
curl -L -o README.md https://huggingface.co/v2ray/Anima-2.9B-preview-v1-diffusers/resolve/main/README.md
726 Bytes
metadata
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-loadable version of Gazingstars123/Anima-2.9B (Preview V1).
Usage:
import torch
import diffusers
pipeline = diffusers.AnimaModularPipeline.from_pretrained("v2ray/Anima-2.9B-preview-v1-diffusers")
pipeline.load_components(torch_dtype=torch.bfloat16)