Instructions to use jha2ee/StableDiffusion_finetuning_Disney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jha2ee/StableDiffusion_finetuning_Disney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jha2ee/StableDiffusion_finetuning_Disney", 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 Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from jha2ee/StableDiffusion_finetuning_Disney: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/jha2ee/StableDiffusion_finetuning_Disney/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://jha2ee/StableDiffusion_finetuning_Disney/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/jha2ee/StableDiffusion_finetuning_Disney/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 41f6f3e810ffa8a2961da9465adc89a1ef543ec08ea17b67850c1bceb5ea8a70
- Size of remote file:
- 3.44 GB
- SHA256:
- 4e32cdb1cb1bd305c479d3a0d8b9d83f82958b389016d778f5ec0917715e723b
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