Instructions to use Pedrox2/part-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pedrox2/part-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pedrox2/part-4", dtype=torch.bfloat16, device_map="cuda") prompt = "Simboski" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#1)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (a8b0e943710d0573ed3b5f182f39d25662d4714f)07e184a
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Upload concept_images with huggingface_hub
d8a17b8 -
Upload with huggingface_hub
c2f79cb -
Upload the model Part 4
eebc0ab -
initial commit
b259639