Instructions to use zigg-ai/tomscott with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zigg-ai/tomscott with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zigg-ai/tomscott", dtype=torch.bfloat16, device_map="cuda") prompt = "sdcid" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (4292d5ea6df26a103319d95a098c8c97dc4d0b76)82490a7
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Upload concept_images with huggingface_hub
468c583 -
Upload with huggingface_hub
31dfb68 -
Upload the model tomscott
baab6d8 -
initial commit
632a728