Instructions to use dyllanesl/ASL_Diffusion_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dyllanesl/ASL_Diffusion_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dyllanesl/ASL_Diffusion_Model", 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
Update config.json
Browse files- config.json +1 -1
config.json
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"norm_num_groups": 32,
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"num_class_embeds": null,
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"num_train_timesteps": null,
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"out_channels":
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"resnet_time_scale_shift": "default",
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"sample_size": 32,
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"time_embedding_type": "positional",
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"norm_num_groups": 32,
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"num_class_embeds": null,
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"num_train_timesteps": null,
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"out_channels": 3,
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"resnet_time_scale_shift": "default",
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"sample_size": 32,
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"time_embedding_type": "positional",
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