Instructions to use EmbodiedCity/Airscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EmbodiedCity/Airscape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EmbodiedCity/Airscape", 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 phase1/config.json
Browse files- phase1/config.json +1 -1
phase1/config.json
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{
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"_class_name": "CogVideoXTransformer3DModel",
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"_diffusers_version": "0.35.0.dev0",
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"_name_or_path": "
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 64,
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{
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"_class_name": "CogVideoXTransformer3DModel",
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"_diffusers_version": "0.35.0.dev0",
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"_name_or_path": "CogVideoX-5b-I2V/transformer",
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 64,
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