Instructions to use DmatryMakeev/asic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DmatryMakeev/asic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DmatryMakeev/asic", 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
Commit ·
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Parent(s): dd6dc5e
Update config.json
Browse files- config.json +1 -1
config.json
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"num_attention_heads": 12,
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"num_hidden_layers": 12
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"torch_dtype": "
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"transformers_version": null,
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"vision_config": {
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"_name_or_path": "",
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"num_attention_heads": 12,
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"num_hidden_layers": 12
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},
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"torch_dtype": "float16",
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"transformers_version": null,
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"vision_config": {
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"_name_or_path": "",
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