Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion
inversion
dpo
fine-tuned
Instructions to use ashllay/Inversion-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashllay/Inversion-DPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ashllay/Inversion-DPO", 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 Inversion-DPO_bf16.safetensors from ashllay/Inversion-DPO: direct link, hf CLI and curl.
- Browser
- Download file 6.94 GB
-
https://huggingface.co/ashllay/Inversion-DPO/resolve/main/Inversion-DPO_bf16.safetensors
- Command line
-
hf download hf://ashllay/Inversion-DPO/Inversion-DPO_bf16.safetensors
-
curl -L -o Inversion-DPO_bf16.safetensors https://huggingface.co/ashllay/Inversion-DPO/resolve/main/Inversion-DPO_bf16.safetensors
6.94 GB
- Xet hash:
- d1bfa3954679622026af3abe25e245978ff20656f83930dda5cf6561a3d9a99c
- Size of remote file:
- 6.94 GB
- SHA256:
- d0705135ffde253637af1c4be2c8014237913660aa8f18dcef6f77386219a430
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