Instructions to use Basunat/Cinematic-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Basunat/Cinematic-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Basunat/Cinematic-Diffusion", 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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- syberart.safetensors +3 -0
syberart.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:70ddd9cb26193694b1c6f076c3a811705378ac8a7de51e26f7cfa7c30a0970a9
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size 2132625464
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