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Mixture-of-Diffusers pipeline tiling for SDXL
This strives to provide a better tool for image composition by using several diffusion processes in parallel, each configured with a specific prompt and settings, and focused on a particular region of the image. The mixture of diffusion processes is done in a way that harmonizes the generation process, preventing "seam" effects in the generated image. Using several diffusion processes in parallel has also practical advantages when generating very large images, as the GPU memory requirements are similar to that of generating an image of the size of a single tile.
https://huggingface.co/spaces/elismasilva/mixture-of-diffusers-sdxl-tiling
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Zyphra/Zonos-v0.1-hybrid
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about 19 hours ago
open-llm-leaderboard/open_llm_leaderboard:Evaluate new dolphin 3 r1 24B
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Replete Qwen2 1.5B Instruct
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Llama Pro Dry Run
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Calculate duplicated neural network layers
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Chat Template Tester
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Experiment with Chat Template
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Gradient Array Slider
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Gradient Array Slider (for mergekit)
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mergekit-gui
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Merge and upload models using a YAML config
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Generate Mergkit For Upscale LLM
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Generate YAML config from model parameters and layers
models
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djuna/TEST-Q2.5-Lenned-14B
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djuna/MN-Chinofun-12B-4
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djuna/MN-Chinofun-12B-4.1-Q6_K-GGUF
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djuna/MN-Chinofun-12B-4.1
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djuna/MN-Chinofun-12B-4-Q6_K-GGUF
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djuna/Q2.5-Veltha-14B-0.5-AWQ-4bit
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djuna/TEST-Q2.5-AA-Q8_0-GGUF
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djuna/Q2.5-Veltha-14B
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djuna/Q2.5-Veltha-14B-0.5
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djuna/Q2.5-Veltha-14B-0.5-Q5_K_M-GGUF
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