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
Add 3 files
Browse files- ArbiterXL_v1.json +5 -0
- ArbiterXL_v1.safetensors +3 -0
- README.md +10 -0
ArbiterXL_v1.json
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{
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"sha256": "AC187691485CFC20D36FD1DA6D12D82649EA0E83301BB6715C92D6E4FD7D542D",
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"modelId": "Model not found",
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"modelVersionId": "Model not found"
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}
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ArbiterXL_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac187691485cfc20d36fd1da6d12d82649ea0e83301bb6715c92d6e4fd7d542d
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size 228459748
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README.md
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---
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language:
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- en
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tags:
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- stable-diffusion
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- text-to-image
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license: creativeml-openrail-m
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inference: true
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---
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Character LoRa based on the Arbiter from Raid Shadow Legends (but not as "paladin-y", to say the least).
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