Instructions to use Melanippe/10Eros-conversions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Melanippe/10Eros-conversions with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Melanippe/10Eros-conversions", 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
conversions of Tenstrip/10Eros.
int8 good all around.
int4 fast for Nvidia 16xx (good luck still) to 40xx.
nvfp4 fast for Nvidia 50xx.
all need up to date ComfyUI & Torch.
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Model tree for Melanippe/10Eros-conversions
Base model
TenStrip/LTX2.3-10Eros