Instructions to use LyliaEngine/Fant5yP0ny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/Fant5yP0ny with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/Fant5yP0ny") prompt = "score_9, score_8_up, score_7_up, 1boy, dwarf, long beard, old, armored, serious, solo, in a forge, fire aura, highly detailed, high quality, concept art, realistic, <lora:Fant5yP0ny:0.8>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 3 files
Browse files- Fant5yP0ny.safetensors +3 -0
- images/00044-1327749010.jpeg +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:361505e210ec03c406d2685588732dc9ffb902d510bf46f3cecaa54637ce0722
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size 228466028
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images/00044-1327749010.jpeg
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Git LFS Details
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images/00093-2419017864.jpeg
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