Instructions to use lambda/sd-pokemon-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/sd-pokemon-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lambda/sd-pokemon-diffusers", 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
Commit History
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Update scheduler/scheduler_config.json (#1)
- Update scheduler/scheduler_config.json (8de2386b40889990c330d5e738e9b23b3fd6750a) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>bb7be9f
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Create README.md
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commit files to HF hub
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initial commit
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