Instructions to use cat666/VToooo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cat666/VToooo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cat666/VToooo", 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
- Draw Things
- DiffusionBee
Upload vtoooo-no-ema.ckpt
Browse files- vtoooo-no-ema.ckpt +3 -0
vtoooo-no-ema.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c7e37e13020a999ea13a52b448ad894fba38d6e6f548cda5647c91b6dabdebf
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size 2300215650
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