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
File size: 268 Bytes
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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. |