Text-to-Image
Diffusers
StableDiffusionPipeline
lmd
llm-grounded-diffusion
lmd-plus
layout-to-image
text-to-layout
text-to-layout-to-image
llm
stable-diffusion
stable-diffusion-diffusers
Instructions to use longlian/lmd_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use longlian/lmd_plus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("longlian/lmd_plus", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "In an indoor scene, a blue cube directly above a red cube with a vase on the left of them" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d46f1f18c42a77832d73244cfd40c33237dbaf1009c6652d5180219f20f12165
- Size of remote file:
- 246 MB
- SHA256:
- 05eee911f195625deeab86f0b22b115d7d8bc3adbfc1404f03557f7e4e6a8fd7
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