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* docs: annotate hardcoded cuda device with alternatives in English docs * docs: annotate hardcoded device_map="cuda" with alternatives * update Signed-off-by: kaixuanliu <kaixuan.liu@intel.com> --------- Signed-off-by: kaixuanliu <kaixuan.liu@intel.com>
1.3 KiB
1.3 KiB
Anima
Anima is a text-to-image model that reuses the [CosmosTransformer3DModel] with a Qwen3 text encoder, a T5-token text conditioner, and the [AutoencoderKLQwenImage] VAE.
import torch
from diffusers import ModularPipeline
pipe = ModularPipeline.from_pretrained("circlestone-labs/Anima-Base-v1.0-Diffusers")
pipe.load_components(dtype=torch.bfloat16)
pipe.to("cuda") # or "mps", "xpu", "cpu"
image = pipe(prompt="masterpiece, best quality, 1girl, solo, city lights").images[0]
AnimaModularPipeline
autodoc AnimaModularPipeline
AnimaAutoBlocks
autodoc AnimaAutoBlocks
AnimaTextConditioner
autodoc AnimaTextConditioner