Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use Prgckwb/trpfrog-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prgckwb/trpfrog-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Prgckwb/trpfrog-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of trpfrog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update vae/config.json
Browse files- vae/config.json +1 -1
vae/config.json
CHANGED
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@@ -1,6 +1,6 @@
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.
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"_name_or_path": "hakurei/waifu-diffusion",
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"act_fn": "silu",
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"block_out_channels": [
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{
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"_class_name": "AutoencoderKL",
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+
"_diffusers_version": "0.12.1",
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"_name_or_path": "hakurei/waifu-diffusion",
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"act_fn": "silu",
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"block_out_channels": [
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