Instructions to use diffusion-gif/any2ego with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusion-gif/any2ego with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("diffusion-gif/any2ego") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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Download LICENSES/UPSTREAM.md from diffusion-gif/any2ego: direct link, hf CLI and curl.
- Browser
- Download file 953 Bytes
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https://huggingface.co/diffusion-gif/any2ego/resolve/main/LICENSES/UPSTREAM.md
- Command line
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hf download hf://diffusion-gif/any2ego/LICENSES/UPSTREAM.md
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curl -L -o UPSTREAM.md https://huggingface.co/diffusion-gif/any2ego/resolve/main/LICENSES/UPSTREAM.md
953 Bytes
| # Upstream model licenses and attribution | |
| | Upstream model | Declared license | Revision checked | | |
| |---|---|---| | |
| | Wan-AI/Wan2.1-VACE-1.3B | apache-2.0 | `574e6a744642ce3bee319afc31496b88bde8aac4` | | |
| | google/umt5-xxl | apache-2.0 | `66cb9e7e85526fe440a945569e42c72fb6cbc0ad` | | |
| | Qwen/Qwen3-VL-8B-Instruct | apache-2.0 | `0c351dd01ed87e9c1b53cbc748cba10e6187ff3b` | | |
| | laion/CLIP-ViT-H-14-laion2B-s32B-b79K | mit | `1c2b8495b28150b8a4922ee1c8edee224c284c0c` | | |
| Original and derived model components retain their applicable upstream conditions. No dataset redistribution rights are granted by these model licenses. The full Apache 2.0 license text is included. MIT-licensed LAION/OpenCLIP components retain the upstream notice in MIT-OpenCLIP.txt when present. | |
| Public redistribution does not mean these are new training runs, verified robot policies, or reproduced paper metrics. No raw dataset, credentials, account files or training logs are included. | |