Instructions to use stabilityai/sd-vae-ft-ema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/sd-vae-ft-ema with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sd-vae-ft-ema", 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
Commit ·
f04b2c4
1
Parent(s): 8937891
Remove text to image tag
Browse filesWebUIs build on top of diffusers start to rely on the HF Hub client library to filter for models. This one should not be displayed when listing "text-to-image" models:
```py
import huggingface_hub as hf
hf_api = hf.HfApi()
model_filter = hf.ModelFilter(
model_name="",
task='text-to-image',
tags='stable-diffusion',
library=['diffusers', 'stable-diffusion'],
)
res = hf_api.list_models(filter=model_filter, full=True, limit=200, sort="downloads", direction=-1)
```
README.md
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@@ -3,7 +3,6 @@ license: mit
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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inference: false
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---
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# Improved Autoencoders
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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inference: false
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---
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# Improved Autoencoders
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