Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use Meaning-Machine/mark_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Meaning-Machine/mark_LoRA 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("Meaning-Machine/mark_LoRA") prompt = "a photo of MarkDinatale1984 man" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7b21111f65ff1df1dff3a76611201c6f4545505cb9a917e71eae4d17a6d5456c
- Size of remote file:
- 15 MB
- SHA256:
- bf5583ddd74a8507585085b7e7417497b755cb5d532c93fb9a50bcf65d72a907
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