Instructions to use camenduru/potat1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/potat1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/potat1", 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
Comparing with the Animov weights
#1
by tintwotin - opened
- vae/config.json +1 -1
vae/config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.17.0.dev0",
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-
"_name_or_path": "/
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"act_fn": "silu",
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"block_out_channels": [
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128,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.17.0.dev0",
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+
"_name_or_path": "./models/model_scope_diffusers/",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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