Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use jcjo/dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jcjo/dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jcjo/dog") prompt = "a photo of PJY cat" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
End of training
Browse files
README.md
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- template:sd-lora
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a photo of
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license: openrail++
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---
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## Trigger words
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You should use a photo of
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## Download model
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- template:sd-lora
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a photo of PJY cat
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license: openrail++
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---
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## Trigger words
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You should use a photo of PJY cat to trigger the image generation.
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## Download model
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