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", torch_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6f2c55deb3ea7736104863e4bc46895e491e536f17d8db2ce487efcfbeadbd10
- Size of remote file:
- 444 MB
- SHA256:
- 6f1194b0b5414f79e1e74ece2d82be17d0fc691c638b3ba95369c42104a197a8
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