Instructions to use GraydientPlatformAPI/cheyenne16-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cheyenne16-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/cheyenne16-xl", 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
Update scheduler/scheduler_config.json
#1
by Shinhati2023 - opened
scheduler/scheduler_config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"_class_name": "
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"_diffusers_version": "0.26.3",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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@@ -18,5 +18,5 @@
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"timestep_spacing": "leading",
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"timestep_type": "discrete",
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"trained_betas": null,
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-
"use_karras_sigmas":
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}
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{
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"_class_name": "DPM++ 3M SDE",
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"_diffusers_version": "0.26.3",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"timestep_spacing": "leading",
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"timestep_type": "discrete",
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"trained_betas": null,
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+
"use_karras_sigmas": true
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}
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