Instructions to use Yevrey921/Futanari_Pony_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yevrey921/Futanari_Pony_XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bakanayatsu/ponyDiffusion-V6-XL-Turbo-DPO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Yevrey921/Futanari_Pony_XL") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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base_model: Bakanayatsu/ponyDiffusion-V6-XL-Turbo-DPO
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instance_prompt: futacock
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license: unknown
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---
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# Futanari_Pony_XL
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Weights for this model are available in Safetensors format.
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[Download](/Yevrey921/Futanari_Pony_XL/tree/main) them in the Files & versions tab.
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base_model: Bakanayatsu/ponyDiffusion-V6-XL-Turbo-DPO
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instance_prompt: futacock
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license: unknown
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datasets:
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- openclimatefix/gfs-reforecast
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language:
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- en
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metrics:
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- AlhitawiMohammed22/CER_Hu-Evaluation-Metrics
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new_version: deepseek-ai/DeepSeek-R1
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pipeline_tag: text-to-image
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library_name: adapter-transformers
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---
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# Futanari_Pony_XL
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Weights for this model are available in Safetensors format.
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[Download](/Yevrey921/Futanari_Pony_XL/tree/main) them in the Files & versions tab.
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