Instructions to use Prog420ress/progress with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prog420ress/progress with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Prog420ress/progress", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| language: | |
| - en | |
| tags: | |
| - stable-diffusion | |
| - text-to-image | |
| - image-to-image | |
| license: apache-2.0 | |
| inference: true | |
| base_model: black-forest-labs/FLUX.1-dev | |
| library_name: diffusers | |
| Character LoRa based on the Arbiter from Raid Shadow Legends trained using Flux/1-dev. |