fermatresearch/high-resolution-controlnet-tile 🔢🖼️❓📝✓ → 🖼️
About
UPDATE: new upscaling algorithm for a much improved image quality. Fermat.app open-source implementation of an efficient ControlNet 1.1 tile for high-quality upscales. Increase the creativity to encourage hallucination.
Example Output
Prompt:
"a nordic livingroom, 4k interior photography, uhd"
Output
Performance Metrics
59.90s
Prediction Time
133.56s
Total Time
All Input Parameters
{
"hdr": 0,
"image": "https://replicate.delivery/pbxt/LKnw8rSgafZf4IlAVyPhzpX1TpTVcyfRa1saoaoiSfUYZLiL/fermat_app_a_living_room_modern_and_minimalistic_39b5a58a-e05b-4281-ac24-e87435256333-1.webp",
"steps": 8,
"format": "jpg",
"prompt": "a nordic livingroom, 4k interior photography, uhd",
"scheduler": "DDIM",
"tile_size": 768,
"creativity": 0.4,
"guess_mode": false,
"resolution": 2560,
"resemblance": 0.85,
"guidance_scale": 0,
"negative_prompt": "Teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
"lora_details_strength": -0.25,
"lora_sharpness_strength": 0.75
}
Input Parameters
- hdr
- HDR improvement over the original image
- seed
- Seed
- image
- Control image for scribble controlnet
- steps
- Steps
- format
- Format of the output.
- prompt
- Prompt for the model
- scheduler
- Choose a scheduler.
- creativity
- Denoising strength. 1 means total destruction of the original image
- guess_mode
- In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts.
- resolution
- Image resolution
- resemblance
- Conditioning scale for controlnet
- guidance_scale
- Scale for classifier-free guidance, should be 0.
- negative_prompt
- Negative prompt
- lora_details_strength
- Strength of the image's details
- lora_sharpness_strength
- Strength of the image's sharpness. We don't recommend values above 2.
Output Schema
Output
Example Execution Logs
Using seed: 20941
The config attributes {'solver_order': 2, 'algorithm_type': 'deis', 'solver_type': 'logrho', 'lower_order_final': True, 'use_karras_sigmas': False} were passed to LCMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.
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Version Details
- Version ID
8e6a54d7b2848c48dc741a109d3fb0ea2a7f554eb4becd39a25cc532536ea975- Version Created
- August 7, 2024