Instructions to use Capsekai/KNXBackMixes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Capsekai/KNXBackMixes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Capsekai/KNXBackMixes", 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
Upload with 🤗 Earth & Dusk's Amazing HF Backup for Vast & Runpod
#7
by Duskfallcrew - opened
PorcelainTestFinal-1225-1877-0129.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:04eaef8f17a8f3b8ca6d90a6ea449a28450a44f04a0b360a797e587e9eef6c2c
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size 2132626066
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