PixelCascade128 v0.1
This is an early version of PixelCascade128, a LoRa for Stable Cascade Stace C for pixel art.
Disclaimer: v0.1 can't produce pixel perfect or grid aligned output
How to use
- Only tested on ComfyUI, choose one of the provided workflows (txt2img or img2img)
- Ensure you're using the correct Stable Cascade files (Stage A, B and C, effnet_encoder for img2img)
- Best results are with Stage C/B BF16 weights
How to get the best results
- Use a UNet and CLIP strength of ~1.0 to 0.7
- To force pixel art style use the "pixel art" keyword
- You can use "white background" on negative prompt to remove simple backgrounds
- Downscaling x8 times with nearest neighbors or using Astropulse's Pixel Detector can help to make them pixel perfect
- Works great for 2048x2048 outputs, best results are img2img from a 1024x1024 samples
- Euler a sampler works the best, 20 steps Stage C, 10 steps Stage B
- 2048x2048 samples might generate distorted images, use img2img with 0.7 strength
Contact
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for nerijs/pixelcascade128-v0.1
Base model
stabilityai/stable-cascade