Instructions to use AiAF/Diffusers_Pony-Diffusion-V6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Diffusers_Pony-Diffusion-V6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiAF/Diffusers_Pony-Diffusion-V6", 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
Commit History
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Replace with corrected diffusers format. ai-toolkit expects model.safetensors files. Previous commit had pytorch_model.bin files.
Verified signature1bd2cf2
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diffusers format PonyXL upload
Verified signaturetook the original PurpleSmartAI PonyXL standalone safensors file (can be found here: https://civitai.com/models/257749/pony-diffusion-v6-xl ) and used the diffusers repo's convert_original_stable_diffusion_to_diffusers.py script (can be found here: https://github.com/huggingface/diffusers/blob/main/scripts/convert_original_stable_diffusion_to_diffusers.py . pip install diffusers transformers accelerate safetensors for it to work) to turn it into a diffusers format model. Diffusers image generation expects a diffuser format model from wherever it's pointed to so I went ahead and did the conversion. Hopefully testing LoRA's Will be a bit easier and quicker to do now since diffusers doesn't require you to spin up an entire webui for use86d374a