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
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tags:
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- stable-diffusion
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- text-to-image
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inference: true
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---
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Character LoRa based on the Arbiter from Raid Shadow Legends
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tags:
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- stable-diffusion
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- text-to-image
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- image-to-image
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license: apache-2.0
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inference: true
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base_model: black-forest-labs/FLUX.1-dev
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library_name: diffusers
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Character LoRa based on the Arbiter from Raid Shadow Legends trained using Flux/1-dev.
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