Instructions to use Karumoon/test00a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Karumoon/test00a2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Karumoon/test00a2", dtype=torch.bfloat16, device_map="cuda") prompt = "Jens Peter Hansen kommer fra Danmark" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update scheduler/scheduler_config.json
Browse files
scheduler/scheduler_config.json
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@@ -4,10 +4,10 @@
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"num_train_timesteps":
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"prediction_type": "epsilon",
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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"steps_offset":
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"trained_betas": null
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}
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"num_train_timesteps": 10000,
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"prediction_type": "epsilon",
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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"steps_offset": 2,
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"trained_betas": null
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}
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