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1: Unusual ArtText
Art instruction of this nature are hard to come by. This book should be entirely redone - different format, larger illustrations in color, a little updating - not too much. Speed is so interesting and helpful. He organizes what you already know, introduces you approaches you never thought of, shares his artistic philosophy and generally fills in the gaps in one's education. Glad I bought it.
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2: Very informative
Harold Speed has in this book explained everything an oilpainter needs to know. Very informative, and a great learning tool.
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3: Excellent Book
I enjoyed this book very much, in spite of the writing style of the day. The author knew his subject and was able to convey it to the reader. I've been painting for forty years and he had pointers and tips I have never seen or read anywhere else. I have put some of those into practice, and feel that my paintings are better for it. Even with the run on sentences and the not so humble opinions interwoven into it, this book is a valuable addition to anyone seriously studying representational painting, and I don't think it any more biased than many books written about painting which favor modern or non representational art.
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4: a must have for every artist.
This book is one of the best books out there for painting, it offers a wontderful insight to the craft of painting the classical way. I read it multiple times and I keep learning from it. The drawing book by the same author is just as awesome.
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5: A Must Read Book for the Serious Artist
As a professional artist I have been a long time admirer of Harold Speed's books. If you are interested in learning the craft of painting the human figure in oil, then there is really no better primer than Oil Painting Techniques by Harold Speed. From my own experience in painting I have come to find that Speed's approach is the most intelligent and manageable of any I've studied. It's a method that applies to any subject, not just figure painting. No cheap gimmicks or "tricks," just good common sense and a clear explanation how to break down the spectrum of visual data into the most important components.
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