Instructions to use Akalabeth12/Text-to-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akalabeth12/Text-to-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Akalabeth12/Text-to-Image", 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
Upload 2 files
Browse files
ANIMA/UltraReal_Fine-Tune_Anima_V12_Anima_Preview3.safetensors
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ANIMA/WAI_ANIMA_V10.safetensors
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oid sha256:195ff3c7a51fb8bde0ae845613293aad055cc03a295e79bafcbfecd50721c429
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size 4182235888
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