Instructions to use fusing/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/test", 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
- Local Apps
- Draw Things
- DiffusionBee
Update model_index.json
Browse files- model_index.json +2 -2
model_index.json
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"DDIMScheduler"
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],
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"text_encoder": [
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],
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"tokenizer": [
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"transformers",
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"DDIMScheduler"
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"text_encoder": [
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"alt_diffusion",
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"RobertaSeriesModelWithTransformation"
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],
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"tokenizer": [
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"transformers",
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