Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
sygil-diffusion
sygil-devs
finetune
stable-diffusion-1.5
Instructions to use Sygil/Sygil-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sygil/Sygil-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("Sygil/Sygil-Diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "environment art, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Commit ·
4ac269a
1
Parent(s): 8b21173
Update model_index.json
Browse files- model_index.json +1 -1
model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.10.2",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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