Instructions to use AltLuv/pokemon-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AltLuv/pokemon-testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AltLuv/pokemon-testing", 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
End of training
Browse files
scheduler/scheduler_config.json
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{
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"_class_name": "TorchSDE_PARAM",
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"_diffusers_version": "0.25.0.dev0",
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"data_dimension": 3072
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}
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{
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"_class_name": "TorchSDE_PARAM",
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"_config_class_name": "SDEConfig",
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"_diffusers_version": "0.25.0.dev0",
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"data_dimension": 3072
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}
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