Instructions to use kadirnar/pixelparti-128-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/pixelparti-128-v0.2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kadirnar/pixelparti-128-v0.2", dtype=torch.bfloat16, device_map="cuda") prompt = "pixel art style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6fec0b01adf4bff8b4518085bbcaabeb75623040c1f1da44df82161ec37c8376
- Size of remote file:
- 1.21 MB
- SHA256:
- baaf7331e3eddc7a4c40586ae72327b447d270b843dd62dd2a044ee528e749bb
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