Instructions to use gligen/diffusers-generation-text-box with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gligen/diffusers-generation-text-box with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gligen/diffusers-generation-text-box", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download scheduler/.ipynb_checkpoints/scheduler_config-checkpoint.json from gligen/diffusers-generation-text-box: direct link, hf CLI and curl.
- Browser
- Download file 209 Bytes
-
https://huggingface.co/gligen/diffusers-generation-text-box/resolve/main/scheduler/.ipynb_checkpoints/scheduler_config-checkpoint.json
- Command line
-
hf download hf://gligen/diffusers-generation-text-box/scheduler/.ipynb_checkpoints/scheduler_config-checkpoint.json
-
curl -L -o scheduler_config-checkpoint.json https://huggingface.co/gligen/diffusers-generation-text-box/resolve/main/scheduler/.ipynb_checkpoints/scheduler_config-checkpoint.json
209 Bytes
| { | |
| "_class_name": "PNDMScheduler", | |
| "_diffusers_version": "0.2.2", | |
| "beta_end": 0.012, | |
| "beta_schedule": "scaled_linear", | |
| "beta_start": 0.00085, | |
| "num_train_timesteps": 1000, | |
| "skip_prk_steps": true | |
| } | |