Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
English
Instructions to use ShibaDeveloper/olivia-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShibaDeveloper/olivia-v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShibaDeveloper/olivia-v1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, detailed, intricate, elegant, highly detailed, digital painting, artstation, concept art, matte, sharp focus, illustration, by dan mumford, yusuke murata, makoto shinkai, ross tran" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
92bdfa9
1
Parent(s): 1571b90
Update vae/config.json
Browse files- vae/config.json +0 -1
vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.9.0.dev0",
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"_name_or_path": "/content/anything-v3.0/vae",
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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": "0.9.0.dev0",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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