An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models
Paper • 2608.16887 • Published • 36
William Smith
fizzlepoof
AI & ML interests
Local inference
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An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models new activity 17 days ago
xmarre/MiniMax-H3-Pruned-Ref-Delta-Fused-r1024-ComfyUI:why ? , usage and differences ?Organizations
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[Feature Request] Support for the ACC Loras from Alibaba
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why ? , usage and differences ?
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Great job, these models are really an improvement
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Can you share a workflow for this?I don't know how to modify my workflow to use it
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[bot] Conversion to Parquet
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This is an easy-to-remember pattern.
GLM and Kimi are in Beijing, DeepSeek and Qwen are in Hangzhou.
OpenAI and Anthropic are in SF, xAI and Meta are in the peninsula.
In both China and the Bay Area, token price of one area is ~1/3 of the other area.
GLM and Kimi are in Beijing, DeepSeek and Qwen are in Hangzhou.
OpenAI and Anthropic are in SF, xAI and Meta are in the peninsula.
In both China and the Bay Area, token price of one area is ~1/3 of the other area.
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