Instructions to use Elvenson/diffuser_inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Elvenson/diffuser_inference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Elvenson/diffuser_inference", 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 History
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Add local request script
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Add test image
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Optimize handler, update README
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Add debug log, change directory
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Add GPU mode
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add handler, README
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add stable-diffusion-v1-5
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add large file
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test
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test
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Push model
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Remove tag
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Change inference flag, use byte instead of base64
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Add handling text prompt input only logic
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Add access token
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Update README
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Add handler
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initial commit
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