Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
sd3
sd3-diffusers
Instructions to use MarcosRodrigo/mrt-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarcosRodrigo/mrt-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarcosRodrigo/mrt-model") prompt = "a photo of mrt" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 18fa7beb1197f78f625cb22ac6ba5ae0951695c49b3e6a33150e4515c620fd42
- Size of remote file:
- 492 MB
- SHA256:
- 6f1b8c4cfe87cebaae3e24ab18e66e6e66a79ba360993b7502adcea7918a4523
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