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
Hey! We have introduced a steps_offset variable to scheduler configs to have a cleaner API and now want to incentivize SD schedulers to add this to the config as otherwise it'll eventually lead to silent errors. See: https://github.com/huggingface/diffusers/blob/7258dc4943e73b8799003771e86a44424afb996d/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py#L60 Best, Diffusers Team!8de2386
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Create README.md
5670862
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commit files to HF hub
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initial commit
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